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ToolSchema Forge - LLM Tool Schema Converter
x402
ToolSchema Forge - LLM Tool Schema Converter is a paid API for AI agents from toolschema-forge.toolschemaforge.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Converts, lints, and cross-compiles LLM tool definitions between OpenAI, Anthropic, Gemini, and MCP formats, with auto-fixing and issue reporting, paid per call via x402.
Price / call$0.01
Success—
StatusUnknown
How this service works
Deterministic LLM tool-schema conversion, linting and MCP manifest generation for OpenAI (incl. strict mode), Anthropic, Gemini and MCP, paid per call in USDC on Base via x402.
Output
Returns a JSON object with a 'detected' field indicating the auto-detected source format, and a 'results' map keyed by target format (e.g. openai, openai_strict, anthropic, gemini, mcp, jsonschema). Each target entry contains the converted 'tool' schema and an 'issues' array listing any lint findings with path, code, message, severity (error/warning), and whether the issue was auto-fixed.
Example use cases
Port tool schema to all providers
“I have this OpenAI chat tool definition and I need versions of it for Anthropic, Gemini, and MCP all at once — can you run it through the schema converter and show me what issues it flags? Here's the tool: {name: 'search_web', description: 'Search the web', parameters: {type: 'object', required: ['query'], properties: {query: {type: 'string'}}}}”
Fix OpenAI strict mode compliance
“My tool schema works in regular OpenAI mode but fails in strict mode — can you convert it to openai_strict and auto-fix whatever needs to change? The tool is: {name: 'send_email', description: 'Send an email', parameters: {type: 'object', required: ['to'], properties: {to: {type: 'string'}, subject: {type: 'string'}, body: {type: 'string'}}}}”
Generate MCP manifest from Gemini tool
“I've got a Gemini-format tool definition and I need it converted into an MCP manifest — can you also lint it and tell me if there are any errors or warnings? Tool: {name: 'get_stock_price', description: 'Fetch current stock price', parameters: {type: 'object', required: ['ticker'], properties: {ticker: {type: 'string', description: 'Stock ticker symbol'}}}}”
Technical details
Endpoint
POSThttps://toolschema-forge.toolschemaforge.workers.dev/v1/tool-schema/convert?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, rule-based conversion of LLM tool schemas across providers (OpenAI, Anthropic, Gemini, MCP) with linting and auto-fixing, rather than asking an LLM to manually rewrite schemas. Ideal for CI pipelines, agent builder tooling, or any workflow where you need to maintain a single source-of-truth tool definition and emit provider-specific variants automatically. Particularly useful when OpenAI strict mode compliance is needed, since the service auto-fixes common issues like missing additionalProperties:false and optional property nullability.
Side effects
- Unrecognizable tool format — returns error if input doesn't match any supported provider schema
- Missing required 'tool' field in body — validation error
- Invalid target format enum value — rejected at schema level
- Payment failure via x402 — HTTP 402 if USDC payment not provided or insufficient
- Malformed JSON body — HTTP 400 parse error
- Tool schema too complex or deeply nested for deterministic linting
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"results": {
"gemini": {
"tool": {
"name": "get_weather",
"parameters": {
"type": "object",
"required": [
"city"
],
"properties": {
"city": {
"type": "string",
"description": "City name"
},
"unit": {
"enum": [
"c",
"f"
],
"type": "string"
}
}
},
"description": "Get the current weather for a city."
},
"issues": []
},
"openai_strict": {
"tool": {
"type": "function",
"function": {
"name": "get_weather",
"strict": true,
"parameters": {
"type": "object",
"required": [
"city",
"unit"
],
"properties": {
"city": {
"type": "string",
"description": "City name"
},
"unit": {
"enum": [
"c",
"f",
null
],
"type": [
"string",
"null"
]
}
},
"additionalProperties": false
},
"description": "Get the current weather for a city."
}
},
"issues": [
{
"code": "optional_made_nullable",
"path": "/properties/unit",
"fixed": true,
"message": "Optional property \"unit\" was made nullable and required",
"provider": "openai_strict",
"severity": "warning"
},
{
"code": "additional_properties_forced",
"path": "/additionalProperties",
"fixed": true,
"message": "additionalProperties must be false for OpenAI Structured Outputs",
"provider": "openai_strict",
"severity": "warning"
}
]
}
},
"detected": "openai"
}
}Tags
x402
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