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AgentUtility Tool Card Generator
x402
AgentUtility Tool Card Generator is a paid API for AI agents from x402.agentutility.ai, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-31).
Generates a structured tool card (name, description, parameters schema) for a given API tool, given its name and a natural-language description
Price / call$0.005
Success—
StatusUnknown
How this service works
817 pay-per-call APIs for AI agents. Every endpoint is POST /<name> and is payable in USDC over x402 on Base and Solana — no signup, no API key, just pay-per-call. GET https://x402.agentutility.ai/ returns the same catalog as machine-readable JSON.
Output
A JSON tool card object containing the tool's canonical name, a one-sentence description, and a JSON Schema parameters object (with type, required array, and properties with types and descriptions for each inferred parameter). Also includes model and source metadata.
Example use cases
Auto-generate schema for weather tool
“I have a tool called 'get_weather' that fetches current weather for a city. Can you generate a proper tool card for it, including the parameters schema?”
Build tool card for payment API
“Create a tool card for an API named 'create_payment' that initiates a USDC payment to a wallet address given an amount and recipient address.”
Infer parameters for search tool
“I need a tool card for 'web_search' — it searches the web for a query string and returns results. Can you figure out the right parameters schema from that description?”
Technical details
Endpoint
POSThttps://x402.agentutility.ai/tool-card-generate?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to programmatically generate a structured, LLM-compatible tool card (JSON Schema parameters) for an API from just its name and a natural-language description — especially when building agent tool registries, auto-documenting APIs, or bootstrapping function-calling schemas without manually writing JSON Schema. Prefer this over manual schema authoring when speed and automation matter.
Side effects
- Missing required 'name' or 'description' fields returns a validation error
- Ambiguous or very short description may produce an inaccurate or incomplete parameters schema
- Payment failure (insufficient USDC) blocks the call before processing
- Model may hallucinate parameter names or types not implied by the description
- Very long or complex descriptions may result in truncated or oversimplified schemas
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "zai-org-glm-4.7",
"source": "venice",
"tool_card": {
"name": "weather",
"parameters": {
"type": "object",
"required": [
"city"
],
"properties": {
"city": {
"type": "string",
"description": "Name of the city to fetch weather for, e.g. 'San Francisco'"
}
}
},
"description": "Get current weather for a city"
}
}
}Tags
x402
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