Conversation Ai Search Agents

Immutable Catalog Entry

This descriptor comes from the active versioned Portal catalog.

READghl.conversation_ai_search_agents

• Contract tier: agent_ready
• Risk: read
• Catalog version: 2026-07-12.2
• Descriptor hash: 1d859a0aa8f50912229b76015e3eb391c3256607c921d725fcbac4e134fe108d

Search GHL Conversation AI agents. GHL category: AI Agents / Conversation AI. This is a read-only GHL Conversation AI operation. Agent personalities, goals, instructions, prompts, knowledge-base links, and action parameters are redacted by default; set includeFullConfig only when explicitly needed.

Request Body

{
  "jsonrpc": "2.0",
  "id": "ghl-conversation-ai-search-agents-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.conversation_ai_search_agents",
    "arguments": {
      "query": {},
      "search": "search_example",
      "tenantId": "tenantId_123",
      "locationId": "locationId_123",
      "strictTenant": false,
      "includeFullConfig": false
    }
  }
}

Arguments Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "object",
      "description": "Optional GHL-supported query parameters for this official Conversation AI endpoint, such as pagination, agent, or generation filters from the official docs. Do not include locationId unless you only need local safety validation. For conversation_ai_search_agents, search/q/name are accepted but applied locally because GHL rejects those query fields.",
      "additionalProperties": true
    },
    "search": {
      "type": "string",
      "description": "Optional local text filter for Conversation AI agent name/id. This is not forwarded to GHL because the provider rejects search/q/name query fields for this endpoint."
    },
    "tenantId": {
      "type": "string",
      "description": "Tenant ID from list_tenants."
    },
    "locationId": {
      "type": "string",
      "description": "Optional GHL location ID for safety validation only. If provided, it must match the authenticated runtime location; Conversation AI endpoints are scoped by the PIT token and this field is not forwarded to GHL."
    },
    "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 Conversation AI configuration such as personality, goal, instructions, prompts, knowledge-base IDs, or action parameters."
    }
  },
  "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-conversation-ai-search-agents-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.conversation_ai_search_agents",
    "arguments": {
      "query": {},
      "search": "search_example",
      "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-conversation-ai-search-agents-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.conversation_ai_search_agents",
    "arguments": {
      "query": {},
      "search": "search_example",
      "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-conversation-ai-search-agents-example",
  "method": "tools/call",
  "params": {
    "name": "ghl.conversation_ai_search_agents",
    "arguments": {
      "query": {},
      "search": "search_example",
      "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.conversation_ai_search_agents 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."
}