AI Tools

LLM Tool-Calling JSON Schema Builder

Define an LLM tool once and emit validated function-calling payloads for OpenAI, Anthropic and Gemini.

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Quick start

Call this tool from your code in three languages.

cURL

curl -X POST 'http://127.0.0.1:3003/en/api/tools/llm-tool-calling-json-schema-builder' \
  -H 'Content-Type: application/json' \
  -d '{"toolName":"get_weather","toolDescription":"Get the current weather for a city. Use when the user asks about temperature, conditions, or whether it will rain today.","paramsInput":"city | string | required | City name, e.g. \"Paris\"\nunits | enum<celsius,fahrenheit> | optional | Temperature unit for the report\nforecast_days | integer | optional | Days of forecast to include (1-7)","strictMode":true,"toolChoice":"auto"}'

API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP

POST http://127.0.0.1:3003/en/api/tools/llm-tool-calling-json-schema-builder

Parameters

Name	Type	Required	Description
toolName	text	Yes	—
toolDescription	textarea	Yes	—
paramsInput	textarea	Yes	—
strictMode	checkbox	No	—
toolChoice	select	Yes	—

Response format

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json

{
  "mcpServers": {
    "elysiatools-llm-tool-calling-json-schema-builder": {
      "name": "llm-tool-calling-json-schema-builder",
      "description": "Define an LLM tool once and emit validated function-calling payloads for OpenAI, Anthropic and Gemini.",
      "baseUrl": "http://127.0.0.1:3003/mcp/sse?toolId=llm-tool-calling-json-schema-builder",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "llm-tool-calling-json-schema-builder",
    "arguments": {
  "toolName": "get_weather",
  "toolDescription": "Get the current weather for a city. Use when the user asks about temperature, conditions, or whether it will rain today.",
  "paramsInput": "city | string | required | City name, e.g. \"Paris\"\nunits | enum<celsius,fahrenheit> | optional | Temperature unit for the report\nforecast_days | integer | optional | Days of forecast to include (1-7)",
  "strictMode": true,
  "toolChoice": "auto"
}
  }
}