Agent Studio Get Agent

Immutable Catalog Entry

This descriptor comes from the active versioned Portal catalog.

READghl.agent_studio_get_agent

• Contract tier: agent_ready
• Risk: read
• Catalog version: 2026-07-12.2
• Descriptor hash: adbb80b9cf0bd317d68c0ab98218f6a9c4e50bb04c6407912dc95d90310b5734

Get a GHL AI Agent Studio agent by ID with its non-deleted versions. GHL category: AI Agents / AI Agent Studio. This is a read-only GHL AI Agent Studio operation. Agent prompts, version graphs, instructions, and execution configuration are redacted by default; set includeFullConfig only when explicitly needed.

Request Body

{
  "jsonrpc": "2.0",
  "id": "ghl-agent-studio-get-agent-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.agent_studio_get_agent",
    "arguments": {
      "agentId": "agentId_123",
      "query": {},
      "tenantId": "tenantId_123",
      "locationId": "locationId_123",
      "strictTenant": false,
      "includeFullConfig": false
    }
  }
}

Arguments Schema

{
  "type": "object",
  "required": [
    "agentId"
  ],
  "properties": {
    "query": {
      "type": "object",
      "description": "Optional GHL-supported query parameters for this official Agent Studio endpoint, such as limit, offset, isPublished, or documented filters. locationId is injected automatically for list/get endpoints that require it.",
      "additionalProperties": true
    },
    "agentId": {
      "type": "string",
      "description": "agentId path parameter required by /agent-studio/agent/:agentId."
    },
    "tenantId": {
      "type": "string",
      "description": "Tenant ID from list_tenants."
    },
    "locationId": {
      "type": "string",
      "description": "Optional GHL location ID. If provided, it must match the authenticated runtime location; otherwise the runtime location is injected as the required query locationId."
    },
    "strictTenant": {
      "type": "boolean",
      "default": true,
      "description": "Require tenantId to match locationId routing (default: true)."
    },
    "includeFullConfig": {
      "type": "boolean",
      "description": "Defaults to false. Set true only when the user explicitly needs full Agent Studio prompts, version graph data, instructions, nodes, or execution configuration."
    }
  },
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "required": [
    "ok",
    "data",
    "error",
    "meta"
  ],
  "properties": {
    "ok": {
      "type": "boolean",
      "description": "Whether the GHL MCP operation completed successfully."
    },
    "data": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "array",
          "items": {}
        },
        {
          "type": "string"
        },
        {
          "type": "number"
        },
        {
          "type": "boolean"
        },
        {
          "type": "null"
        }
      ],
      "description": "Tool-specific GHL or local navigation result when ok is true."
    },
    "meta": {
      "type": "object",
      "description": "Safe execution, routing, and timing metadata.",
      "additionalProperties": true
    },
    "error": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "description": "Safe error details when ok is false; credential values are never returned."
    }
  },
  "description": "Normalized GHL MCP response envelope.",
  "additionalProperties": false
}

Code Examples

cURL

curl -X POST 'https://portal.madpanda3d.com/api/mcp' \
  -H 'Authorization: Bearer mad_live_***' \
  -H 'Content-Type: application/json' \
  -d '{
  "jsonrpc": "2.0",
  "id": "ghl-agent-studio-get-agent-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.agent_studio_get_agent",
    "arguments": {
      "agentId": "agentId_123",
      "query": {},
      "tenantId": "tenantId_123",
      "locationId": "locationId_123",
      "strictTenant": false,
      "includeFullConfig": false
    }
  }
}'

Node.js

const response = await fetch('https://portal.madpanda3d.com/api/mcp', {
  method: 'POST',
  headers: {
    Authorization: 'Bearer mad_live_***',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
  "jsonrpc": "2.0",
  "id": "ghl-agent-studio-get-agent-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.agent_studio_get_agent",
    "arguments": {
      "agentId": "agentId_123",
      "query": {},
      "tenantId": "tenantId_123",
      "locationId": "locationId_123",
      "strictTenant": false,
      "includeFullConfig": false
    }
  }
}),
});
const data = await response.json();
console.log(data);

Python

import requests

url = 'https://portal.madpanda3d.com/api/mcp'
headers = {
    'Authorization': 'Bearer mad_live_***',
    'Content-Type': 'application/json',
}
payload = {
  "jsonrpc": "2.0",
  "id": "ghl-agent-studio-get-agent-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.agent_studio_get_agent",
    "arguments": {
      "agentId": "agentId_123",
      "query": {},
      "tenantId": "tenantId_123",
      "locationId": "locationId_123",
      "strictTenant": false,
      "includeFullConfig": false
    }
  }
}
response = requests.post(url, headers=headers, json=payload, timeout=60)
print(response.json())

Example Responses

200 Success

{
  "ok": true,
  "message": "Tool ghl.agent_studio_get_agent executed successfully.",
  "note": "Response shape varies by MCP tool. Inspect live responses for exact fields."
}

502 Upstream Error

{
  "ok": false,
  "classification": "upstream_http_error",
  "message": "Upstream MCP returned a non-success status."
}