agent-management

Create, manage, and interact with AI agents and their conversations

Server path: /agent-management | Type: Embedded | PCID required: No

Tools

Tool	Description
agent_create	Create a new agent with specified configuration including name, description, instructions, tools, and resources. Two ways to add server tools: (1) Add all tools from a server: {“name”: “github”, “allTools”: true} — no need to list individual tools. (2) Add specific tools: call capabilities_discover to find relevant servers/tools, then list them in the tools field. Returns the created agent with its ID.
agent_update	Update an existing agent. Only provided fields will be updated - other fields remain unchanged. Requires the agent ID from create or read operations. Two ways to add server tools: (1) All tools from a server: {“name”: “github”, “allTools”: true}. (2) Specific tools: call capabilities_discover to find relevant servers/tools, then list them. Example: If user says “add all github tools”, use {“name”: “github”, “allTools”: true}.
agent_read	Get detailed information about an agent including its configuration, tools, resources, and permissions. Use this to inspect an agent before updating it or to understand its capabilities.
agent_invoke	Invoke an agent and get its response. Use this to leverage agent capabilities for data processing, decision making, or complex tasks. The agent can be invoked with a message and optionally continue a conversation using chatId. Returns the agent’s response, chatId for continuing conversations, and agentId.
agent_list	List all agents accessible to the current user. Returns a summary of each agent including its ID, name, and description. Use this to discover available agents before invoking or updating them.
chat_create	Create a new chat session for an agent. A chat provides a persistent conversation context that maintains message history across multiple agent_invoke calls. After creating a chat, use agent_invoke with the returned chatId to send messages within this conversation.
chat_list	List all chat sessions for a specific agent. Returns chat metadata including ID, name, agent association, and creation date. Use this to find existing conversations to resume via agent_invoke.
chat_reset_conversation	Reset a chat’s conversation history, clearing all messages. The chat itself is preserved but its message history is wiped clean. Use this to start a fresh conversation within an existing chat session. The next agent_invoke call with this chatId will behave as if the conversation just started.
chat_list_artifacts	List all artifacts associated with a chat. Returns artifact metadata including IDs, names, MIME types, sizes, and download URLs. Artifacts are created by agents during code execution (via createArtifact) or uploaded by users.
agent_publish_release	Publish a release for an agent, locking in its current configuration as a versioned snapshot. A release is required before an agent can be made available as a public template. If nothing has changed since the last release, returns a message indicating nothing to release.
agent_toggle_public_template	Toggle whether an agent is available as a public template in the template gallery. When enabling (available=true), the agent must have at least one published release. Provide a category and optional tags. When disabling (available=false), the agent is removed from the public gallery. Use agent_publish_release first to create a release before enabling.

---

agent_create

Create a new agent with specified configuration including name, description, instructions, tools, and resources. Two ways to add server tools: (1) Add all tools from a server: {“name”: “github”, “allTools”: true} — no need to list individual tools. (2) Add specific tools: call capabilities_discover to find relevant servers/tools, then list them in the tools field. Returns the created agent with its ID.

Parameters:

Parameter	Type	Required	Default	Description
name	string	Yes	—	Display name for the agent
description	string	Yes	—	Description of what the agent does
instructions	string	Yes	—	System instructions/prompt for the agent - guides the agent behavior and capabilities
outputSchema	string	No	—	Optional JSON schema for agent output structure
promptExamples	string[]	No	[]	Example prompts shown as suggestion bubbles in the chat UI. These help users understand what the agent can do. Example: [“Analyze this RFP”, “Draft a response for this opportunity”]
selectedModel	string	No	—	LLM model for the agent. If omitted, defaults to sonnet.
introMessage	string	No	—	Welcome message shown when a user opens the agent chat for the first time.
servers	any	No	[]	MCP servers and tools to grant the agent access to. Two options per server: (1) All tools: {“name”: “github”, “allTools”: true} — includes every tool from the server. (2) Specific tools: {“name”: “google-drive”, “tools”: {“google-drive_list_files”: {}}} — call capabilities_discover to find relevant servers/tools first. Examples: [{“name”: “github”, “allTools”: true}, {“name”: “slack”, “tools”: {“slack_send_message”: {}}}]. For agents without any tool access, use empty array: []
resources	any[]	No	[]	Generic resources configuration (advanced use)
datastores	object[]	No	[]	NOT YET SUPPORTED. Granting datastore access during agent creation is not yet implemented. Do NOT use this field - inform the user this feature is coming soon.
filestores	object[]	No	[]	NOT YET SUPPORTED. Granting filestore access during agent creation is not yet implemented. Do NOT use this field - inform the user this feature is coming soon.
knowledgeBases	object[]	No	[]	NOT YET SUPPORTED. Granting knowledge base access during agent creation is not yet implemented. Do NOT use this field - inform the user this feature is coming soon.
workflows	object[]	No	[]	Workflows the agent can trigger
bindToWorkflow	object	No	—	Optionally bind this agent to a workflow immediately after creation. Agent will be available as a resource in the workflow for calling via config.callAgent(config.getAgent(“resourceName”))

Show inputSchema

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Display name for the agent"
    },
    "description": {
      "type": "string",
      "description": "Description of what the agent does"
    },
    "instructions": {
      "type": "string",
      "description": "System instructions/prompt for the agent - guides the agent behavior and capabilities"
    },
    "outputSchema": {
      "type": "string",
      "description": "Optional JSON schema for agent output structure"
    },
    "promptExamples": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "default": [],
      "description": "Example prompts shown as suggestion bubbles in the chat UI. These help users understand what the agent can do. Example: [\"Analyze this RFP\", \"Draft a response for this opportunity\"]"
    },
    "selectedModel": {
      "type": "string",
      "enum": [
        "haiku",
        "sonnet",
        "opus-low",
        "opus-medium",
        "opus-high",
        "mercury-2",
        "gpt-5.4",
        "gpt-5-mini",
        "gpt-5-nano",
        "groq-gpt-oss-120b",
        "groq-gpt-oss-20b"
      ],
      "description": "LLM model for the agent. If omitted, defaults to sonnet."
    },
    "introMessage": {
      "type": "string",
      "description": "Welcome message shown when a user opens the agent chat for the first time."
    },
    "servers": {
      "type": "effects",
      "default": [],
      "description": "MCP servers and tools to grant the agent access to. Two options per server: (1) All tools: {\"name\": \"github\", \"allTools\": true} — includes every tool from the server. (2) Specific tools: {\"name\": \"google-drive\", \"tools\": {\"google-drive_list_files\": {}}} — call capabilities_discover to find relevant servers/tools first. Examples: [{\"name\": \"github\", \"allTools\": true}, {\"name\": \"slack\", \"tools\": {\"slack_send_message\": {}}}]. For agents without any tool access, use empty array: []"
    },
    "resources": {
      "type": "array",
      "items": {
        "type": "unknown"
      },
      "default": [],
      "description": "Generic resources configuration (advanced use)"
    },
    "datastores": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Collection ID"
          },
          "name": {
            "type": "string",
            "description": "Collection name"
          },
          "description": {
            "type": "string",
            "description": "Collection description"
          },
          "canRead": {
            "type": "boolean",
            "description": "Whether the agent can read from this collection"
          },
          "canWrite": {
            "type": "boolean",
            "description": "Whether the agent can write to this collection"
          },
          "canDelete": {
            "type": "boolean",
            "description": "Whether the agent can delete from this collection"
          },
          "proxyEndpointId": {
            "type": "string",
            "description": "Proxy endpoint ID for accessing this collection"
          }
        }
      },
      "default": [],
      "description": "NOT YET SUPPORTED. Granting datastore access during agent creation is not yet implemented. Do NOT use this field - inform the user this feature is coming soon."
    },
    "filestores": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Collection ID"
          },
          "name": {
            "type": "string",
            "description": "Collection name"
          },
          "description": {
            "type": "string",
            "description": "Collection description"
          },
          "canRead": {
            "type": "boolean",
            "description": "Whether the agent can read from this collection"
          },
          "canWrite": {
            "type": "boolean",
            "description": "Whether the agent can write to this collection"
          },
          "canDelete": {
            "type": "boolean",
            "description": "Whether the agent can delete from this collection"
          },
          "proxyEndpointId": {
            "type": "string",
            "description": "Proxy endpoint ID for accessing this collection"
          }
        }
      },
      "default": [],
      "description": "NOT YET SUPPORTED. Granting filestore access during agent creation is not yet implemented. Do NOT use this field - inform the user this feature is coming soon."
    },
    "knowledgeBases": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Collection ID"
          },
          "name": {
            "type": "string",
            "description": "Collection name"
          },
          "description": {
            "type": "string",
            "description": "Collection description"
          },
          "canRead": {
            "type": "boolean",
            "description": "Whether the agent can read from this collection"
          },
          "canWrite": {
            "type": "boolean",
            "description": "Whether the agent can write to this collection"
          },
          "canDelete": {
            "type": "boolean",
            "description": "Whether the agent can delete from this collection"
          },
          "proxyEndpointId": {
            "type": "string",
            "description": "Proxy endpoint ID for accessing this collection"
          }
        }
      },
      "default": [],
      "description": "NOT YET SUPPORTED. Granting knowledge base access during agent creation is not yet implemented. Do NOT use this field - inform the user this feature is coming soon."
    },
    "workflows": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "triggerName": {
            "type": "string",
            "description": "Name of the workflow trigger"
          },
          "workflowName": {
            "type": "string",
            "description": "Name of the workflow"
          },
          "triggerUrl": {
            "type": "string",
            "description": "URL to trigger the workflow"
          },
          "triggerApiKey": {
            "type": "string",
            "description": "API key for triggering the workflow"
          },
          "toolName": {
            "type": "string",
            "description": "Optional tool name for the workflow"
          }
        }
      },
      "default": [],
      "description": "Workflows the agent can trigger"
    },
    "bindToWorkflow": {
      "type": "object",
      "properties": {
        "automationId": {
          "type": "string",
          "description": "Workflow automation ID to bind this agent to"
        },
        "resourceName": {
          "type": "string",
          "description": "Resource name in WORKFLOW_RESOURCES to bind agent to (e.g., \"contentWriter\")"
        }
      },
      "description": "Optionally bind this agent to a workflow immediately after creation. Agent will be available as a resource in the workflow for calling via config.callAgent(config.getAgent(\"resourceName\"))"
    }
  },
  "required": [
    "name",
    "description",
    "instructions"
  ]
}

---

agent_update

Update an existing agent. Only provided fields will be updated - other fields remain unchanged. Requires the agent ID from create or read operations. Two ways to add server tools: (1) All tools from a server: {“name”: “github”, “allTools”: true}. (2) Specific tools: call capabilities_discover to find relevant servers/tools, then list them. Example: If user says “add all github tools”, use {“name”: “github”, “allTools”: true}.

Parameters:

Parameter	Type	Required	Default	Description
agentId	string	Yes	—	ID of the agent to update (e.g. “ua_abc123”)
name	string	No	—	Updated display name for the agent
description	string	No	—	Updated description of what the agent does
instructions	string	No	—	Updated system instructions/prompt for the agent
outputSchema	string	No	—	Updated JSON schema for agent output structure
promptExamples	string[]	No	—	Updated example prompts shown as suggestion bubbles in the chat UI.
selectedModel	string	No	—	Updated LLM model for the agent.
introMessage	string	No	—	Updated welcome message shown when a user opens the agent chat.
servers	any	No	—	Updated MCP servers and tools configuration. If provided, replaces existing servers completely. Use {“name”: “server”, “allTools”: true} to add all tools from a server, or call capabilities_discover to find specific tools. Example: [{“name”: “github”, “allTools”: true}, {“name”: “slack”, “tools”: {“slack_send_message”: {}}}]
resources	any[]	No	—	Updated generic resources configuration
datastores	object[]	No	—	NOT YET SUPPORTED. Granting datastore access is not yet implemented. Do NOT use this field - inform the user this feature is coming soon.
filestores	object[]	No	—	NOT YET SUPPORTED. Granting filestore access is not yet implemented. Do NOT use this field - inform the user this feature is coming soon.
knowledgeBases	object[]	No	—	NOT YET SUPPORTED. Granting knowledge base access is not yet implemented. Do NOT use this field - inform the user this feature is coming soon.
workflows	object[]	No	—	Updated workflows configuration

Show inputSchema

{
  "type": "object",
  "properties": {
    "agentId": {
      "type": "string",
      "description": "ID of the agent to update (e.g. \"ua_abc123\")"
    },
    "name": {
      "type": "string",
      "description": "Updated display name for the agent"
    },
    "description": {
      "type": "string",
      "description": "Updated description of what the agent does"
    },
    "instructions": {
      "type": "string",
      "description": "Updated system instructions/prompt for the agent"
    },
    "outputSchema": {
      "type": "string",
      "description": "Updated JSON schema for agent output structure"
    },
    "promptExamples": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Updated example prompts shown as suggestion bubbles in the chat UI."
    },
    "selectedModel": {
      "type": "string",
      "enum": [
        "haiku",
        "sonnet",
        "opus-low",
        "opus-medium",
        "opus-high",
        "mercury-2",
        "gpt-5.4",
        "gpt-5-mini",
        "gpt-5-nano",
        "groq-gpt-oss-120b",
        "groq-gpt-oss-20b"
      ],
      "description": "Updated LLM model for the agent."
    },
    "introMessage": {
      "type": "string",
      "description": "Updated welcome message shown when a user opens the agent chat."
    },
    "servers": {
      "type": "effects",
      "description": "Updated MCP servers and tools configuration. If provided, replaces existing servers completely. Use {\"name\": \"server\", \"allTools\": true} to add all tools from a server, or call capabilities_discover to find specific tools. Example: [{\"name\": \"github\", \"allTools\": true}, {\"name\": \"slack\", \"tools\": {\"slack_send_message\": {}}}]"
    },
    "resources": {
      "type": "array",
      "items": {
        "type": "unknown"
      },
      "description": "Updated generic resources configuration"
    },
    "datastores": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Collection ID"
          },
          "name": {
            "type": "string",
            "description": "Collection name"
          },
          "description": {
            "type": "string",
            "description": "Collection description"
          },
          "canRead": {
            "type": "boolean",
            "description": "Whether the agent can read from this collection"
          },
          "canWrite": {
            "type": "boolean",
            "description": "Whether the agent can write to this collection"
          },
          "canDelete": {
            "type": "boolean",
            "description": "Whether the agent can delete from this collection"
          },
          "proxyEndpointId": {
            "type": "string",
            "description": "Proxy endpoint ID for accessing this collection"
          }
        }
      },
      "description": "NOT YET SUPPORTED. Granting datastore access is not yet implemented. Do NOT use this field - inform the user this feature is coming soon."
    },
    "filestores": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Collection ID"
          },
          "name": {
            "type": "string",
            "description": "Collection name"
          },
          "description": {
            "type": "string",
            "description": "Collection description"
          },
          "canRead": {
            "type": "boolean",
            "description": "Whether the agent can read from this collection"
          },
          "canWrite": {
            "type": "boolean",
            "description": "Whether the agent can write to this collection"
          },
          "canDelete": {
            "type": "boolean",
            "description": "Whether the agent can delete from this collection"
          },
          "proxyEndpointId": {
            "type": "string",
            "description": "Proxy endpoint ID for accessing this collection"
          }
        }
      },
      "description": "NOT YET SUPPORTED. Granting filestore access is not yet implemented. Do NOT use this field - inform the user this feature is coming soon."
    },
    "knowledgeBases": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Collection ID"
          },
          "name": {
            "type": "string",
            "description": "Collection name"
          },
          "description": {
            "type": "string",
            "description": "Collection description"
          },
          "canRead": {
            "type": "boolean",
            "description": "Whether the agent can read from this collection"
          },
          "canWrite": {
            "type": "boolean",
            "description": "Whether the agent can write to this collection"
          },
          "canDelete": {
            "type": "boolean",
            "description": "Whether the agent can delete from this collection"
          },
          "proxyEndpointId": {
            "type": "string",
            "description": "Proxy endpoint ID for accessing this collection"
          }
        }
      },
      "description": "NOT YET SUPPORTED. Granting knowledge base access is not yet implemented. Do NOT use this field - inform the user this feature is coming soon."
    },
    "workflows": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "triggerName": {
            "type": "string",
            "description": "Name of the workflow trigger"
          },
          "workflowName": {
            "type": "string",
            "description": "Name of the workflow"
          },
          "triggerUrl": {
            "type": "string",
            "description": "URL to trigger the workflow"
          },
          "triggerApiKey": {
            "type": "string",
            "description": "API key for triggering the workflow"
          },
          "toolName": {
            "type": "string",
            "description": "Optional tool name for the workflow"
          }
        }
      },
      "description": "Updated workflows configuration"
    }
  },
  "required": [
    "agentId"
  ]
}

---

agent_read

Get detailed information about an agent including its configuration, tools, resources, and permissions. Use this to inspect an agent before updating it or to understand its capabilities.

Parameters:

Parameter	Type	Required	Default	Description
agentId	string	Yes	—	ID of the agent to retrieve (e.g. “ua_abc123”). Use this exact ID from create operation or from listing agents.

Show inputSchema

{
  "type": "object",
  "properties": {
    "agentId": {
      "type": "string",
      "description": "ID of the agent to retrieve (e.g. \"ua_abc123\"). Use this exact ID from create operation or from listing agents."
    }
  },
  "required": [
    "agentId"
  ]
}

---

agent_invoke

Invoke an agent and get its response. Use this to leverage agent capabilities for data processing, decision making, or complex tasks. The agent can be invoked with a message and optionally continue a conversation using chatId. Returns the agent’s response, chatId for continuing conversations, and agentId.

Parameters:

Parameter	Type	Required	Default	Description
agentId	string	Yes	—	ID of the agent to invoke. Use agent_read or workflow_agents to see available agents.
message	string	Yes	—	The message or task to send to the agent. Be clear and specific about what you need the agent to do.
chatId	string	No	—	Optional chat ID to continue a previous conversation. If provided, the conversation history will be loaded. If omitted, a new conversation will be started.
mode	string	No	—	Optional agent mode for routing. “action_agent” routes to GPT-based agent (default), “claude_agent” routes to Claude-based agent.
messagesInResponse	boolean	No	—	If true, includes the full message history in the response. Useful for debugging or reviewing conversation context.

Show inputSchema

{
  "type": "object",
  "properties": {
    "agentId": {
      "type": "string",
      "description": "ID of the agent to invoke. Use agent_read or workflow_agents to see available agents."
    },
    "message": {
      "type": "string",
      "description": "The message or task to send to the agent. Be clear and specific about what you need the agent to do."
    },
    "chatId": {
      "type": "string",
      "description": "Optional chat ID to continue a previous conversation. If provided, the conversation history will be loaded. If omitted, a new conversation will be started."
    },
    "mode": {
      "type": "string",
      "enum": [
        "action_agent",
        "claude_agent"
      ],
      "description": "Optional agent mode for routing. \"action_agent\" routes to GPT-based agent (default), \"claude_agent\" routes to Claude-based agent."
    },
    "messagesInResponse": {
      "type": "boolean",
      "description": "If true, includes the full message history in the response. Useful for debugging or reviewing conversation context."
    }
  },
  "required": [
    "agentId",
    "message"
  ]
}

---

agent_list

List all agents accessible to the current user. Returns a summary of each agent including its ID, name, and description. Use this to discover available agents before invoking or updating them.

Parameters: None

Show inputSchema

{
  "type": "object",
  "properties": {}
}

---

chat_create

Create a new chat session for an agent. A chat provides a persistent conversation context that maintains message history across multiple agent_invoke calls. After creating a chat, use agent_invoke with the returned chatId to send messages within this conversation.

Parameters:

Parameter	Type	Required	Default	Description
agentId	string	Yes	—	ID of the agent to create a chat for (e.g. “ua_abc123”). The agent must already exist.
name	string	No	—	Optional display name for the chat. If omitted, defaults to “Chat with agent <agentId>“.

Show inputSchema

{
  "type": "object",
  "properties": {
    "agentId": {
      "type": "string",
      "description": "ID of the agent to create a chat for (e.g. \"ua_abc123\"). The agent must already exist."
    },
    "name": {
      "type": "string",
      "description": "Optional display name for the chat. If omitted, defaults to \"Chat with agent <agentId>\"."
    }
  },
  "required": [
    "agentId"
  ]
}

---

chat_list

List all chat sessions for a specific agent. Returns chat metadata including ID, name, agent association, and creation date. Use this to find existing conversations to resume via agent_invoke.

Parameters:

Parameter	Type	Required	Default	Description
agentId	string	Yes	—	Agent ID to list chats for. Required.

Show inputSchema

{
  "type": "object",
  "properties": {
    "agentId": {
      "type": "string",
      "description": "Agent ID to list chats for. Required."
    }
  },
  "required": [
    "agentId"
  ]
}

---

chat_reset_conversation

Reset a chat’s conversation history, clearing all messages. The chat itself is preserved but its message history is wiped clean. Use this to start a fresh conversation within an existing chat session. The next agent_invoke call with this chatId will behave as if the conversation just started.

Parameters:

Parameter	Type	Required	Default	Description
chatId	string	Yes	—	ID of the chat whose conversation history should be reset.

Show inputSchema

{
  "type": "object",
  "properties": {
    "chatId": {
      "type": "string",
      "description": "ID of the chat whose conversation history should be reset."
    }
  },
  "required": [
    "chatId"
  ]
}

---

chat_list_artifacts

List all artifacts associated with a chat. Returns artifact metadata including IDs, names, MIME types, sizes, and download URLs. Artifacts are created by agents during code execution (via createArtifact) or uploaded by users.

Parameters:

Parameter	Type	Required	Default	Description
chatId	string	Yes	—	ID of the chat to list artifacts for.

Show inputSchema

{
  "type": "object",
  "properties": {
    "chatId": {
      "type": "string",
      "description": "ID of the chat to list artifacts for."
    }
  },
  "required": [
    "chatId"
  ]
}

---

agent_publish_release

Publish a release for an agent, locking in its current configuration as a versioned snapshot. A release is required before an agent can be made available as a public template. If nothing has changed since the last release, returns a message indicating nothing to release.

Parameters:

Parameter	Type	Required	Default	Description
agentId	string	Yes	—	ID of the agent to publish a release for (e.g. “ua_abc123”)

Show inputSchema

{
  "type": "object",
  "properties": {
    "agentId": {
      "type": "string",
      "description": "ID of the agent to publish a release for (e.g. \"ua_abc123\")"
    }
  },
  "required": [
    "agentId"
  ]
}

---

agent_toggle_public_template

Toggle whether an agent is available as a public template in the template gallery. When enabling (available=true), the agent must have at least one published release. Provide a category and optional tags. When disabling (available=false), the agent is removed from the public gallery. Use agent_publish_release first to create a release before enabling.

Parameters:

Parameter	Type	Required	Default	Description
agentId	string	Yes	—	ID of the agent to toggle template availability for
available	boolean	Yes	—	true to make the agent available as a public template, false to remove it from the gallery
category	string	No	—	Template category (e.g. “sales”, “productivity”, “engineering”). Required when available=true.
publicTags	string[]	No	—	Up to 3 tags for the template (e.g. [“crm”, “analytics”]). Optional, only used when available=true. Tags are lowercased automatically.

Show inputSchema

{
  "type": "object",
  "properties": {
    "agentId": {
      "type": "string",
      "description": "ID of the agent to toggle template availability for"
    },
    "available": {
      "type": "boolean",
      "description": "true to make the agent available as a public template, false to remove it from the gallery"
    },
    "category": {
      "type": "string",
      "description": "Template category (e.g. \"sales\", \"productivity\", \"engineering\"). Required when available=true."
    },
    "publicTags": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Up to 3 tags for the template (e.g. [\"crm\", \"analytics\"]). Optional, only used when available=true. Tags are lowercased automatically."
    }
  },
  "required": [
    "agentId",
    "available"
  ]
}