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ToolFit by YourAITools – Full AI Agent Tool Schema Audit
x402
ToolFit by YourAITools – Full AI Agent Tool Schema Audit is a paid API for AI agents from api.youraitools.co, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Performs a comprehensive schema audit of an agent's tool list or remote MCP server, returning per-provider issues, rewritten definitions, confusable tool pairs, poisoning lints, and fingerprints.
Price / call$0.01
Success—
StatusUnknown
How this service works
Full AI agent tool schema audit API (MCP and function calling). Full audit of an agent tool list (tools array or public remote MCP URL): every schema issue per provider (OpenAI, Anthropic, Gemini, Bedrock, MCP; strict mode opt-in) with JSON path and source link, rewritten definitions per provider, confusable tool pairs with distinguishing terms and fix hints, description and poisoning lints, per-tool fingerprints and a pin.
Output
Returns a JSON object with: an overall compatibility grade (e.g. 'D') and numeric score, total tool count, an array of issues each with tool name, provider, rule, severity, and JSON path, per-provider compatibility flags and error counts, rewritten (fixed) tool definitions per provider with change counts, confusable tool pairs with high-risk count and distinguishing hints, poisoning findings with severity counts, token usage stats (avg and total), and a fingerprint pin (set_id) for the audited tool set.
Example use cases
Pre-deployment tool compatibility check
“Before I deploy my agent, audit these 15 tool definitions against OpenAI strict mode and Anthropic — show me every schema error by JSON path and give me fixed versions I can drop straight in.”
MCP server tool quality audit
“Audit the tools on my public MCP server at https://api.example.com/mcp for all five providers — I want a compatibility grade, a list of issues, and a flag if any tool descriptions look like they could be poisoned.”
Diagnosing confusable tools in a large fleet
“I have 50 tools in my agent and it keeps calling the wrong one — can you audit them and specifically highlight which tool pairs are confusable, with hints on how to make their descriptions more distinguishable?”
Technical details
Endpoint
GEThttps://api.youraitools.co/toolfit/v1/full?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a single comprehensive audit covering all major LLM providers (OpenAI including strict mode, Anthropic, Gemini, Bedrock, MCP) at once, rather than provider-specific validators. It is especially valuable when you need rewritten definitions ready to use, poisoning/injection detection, confusable tool diagnosis, and a stable fingerprint pin for tracking tool set changes over time — capabilities not available in generic JSON Schema validators.
Side effects
- Invalid or unreachable MCP URL returns an error indicating the server could not be fetched
- Tool array exceeding 500 entries is rejected
- Missing required 'type' or 'method' fields in input causes a 400 validation error
- Unsupported provider enum value returns a validation error
- Payment failure (x402) blocks the request before processing
- Malformed tool JSON in the tools array may cause partial or failed analysis
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"pin": {
"set_id": "ts_0123456789abcdef0123456789abcdef"
},
"fixed": {
"openai": {
"changed": 8
}
},
"grade": "D",
"score": 62,
"tools": 31,
"issues": [
{
"path": "description",
"rule": "description_length",
"tool": "read_url",
"provider": "openai",
"severity": "error"
}
],
"tokens": {
"avg": 374,
"total": 11585
},
"poisoning": {
"high": 0,
"findings": 0
},
"providers": {
"gemini": {
"errors": 9,
"compatible": false
},
"openai": {
"errors": 8,
"compatible": false
},
"anthropic": {
"errors": 0,
"compatible": true
}
},
"confusable": {
"high": 1,
"count": 5
}
}
}Tags
x402
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