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SignalHarness Agent Tool Schema Validator
x402
SignalHarness Agent Tool Schema Validator is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-13).
Validates a JSON string representing an agent tool schema and returns warnings, analysis, and evidence about its correctness.
Price / call$0.005
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object containing a status field (succeeded/failed), a result object with a list of validation warnings, an analysis_json string with structured findings, and an evidence_scope field indicating the data source. Also includes a full execution receipt with payment details, latency, SHA-256 of the result, and artifact references.
Example use cases
Pre-deployment tool schema check
“Before I deploy this new agent tool, can you run this JSON schema through validation to catch any issues: '{"name":"send_email","description":"Sends an email","parameters":{"type":"object","properties":{"to":{"type":"string"},"subject":{"type":"string"}},"required":["to","subject"]}}'?”
Debugging malformed agent function spec
“My agent keeps failing to call this tool correctly — can you validate this function spec JSON and tell me what warnings come back: '{"name":"search_web","parameters":{"query":{"type":"string"}}}'?”
CI pipeline schema lint step
“As part of our automated checks, validate this agent tool schema JSON and return any warnings so I can block the build if it's invalid: '{"name":"fetch_data","description":"Fetches records from database","parameters":{"type":"object","properties":{"table":{"type":"string"},"limit":{"type":"integer"}},"required":["table"]}}'”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/agent_tool_schema_validate/invokeWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call programmatic check of an agent tool schema JSON before deploying or registering it with an AI framework. It is especially useful in CI/CD pipelines, agent marketplaces, or during iterative development where you want fast, structured feedback on schema correctness without running a full agent loop. Prefer this over manual JSON linting when you need structured warnings and evidence metadata returned in a machine-readable format.
Side effects
- Invalid or non-parseable JSON string in request_json returns a validation error
- request_json exceeding 65536 characters is rejected
- Missing required request_json field causes a schema error
- Malformed tool schema may produce warnings rather than hard errors
- Payment failure on the x402 layer prevents execution entirely
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| request_json | string |
Output
Schema · Response
{
"type": "json",
"example": {
"replay": false,
"result": {
"warnings": [
"Verify the caller-supplied data before relying on this result."
],
"service_id": "agent_tool_schema_validate",
"analysis_json": "{\"example\":\"schema-valid caller-supplied data\"}",
"evidence_scope": "caller_supplied_data"
},
"status": "succeeded",
"receipt": {
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"usage": [],
"status": "succeeded",
"network": "eip155:8453",
"artifacts": [],
"endedAtMs": 0,
"latencyMs": 0,
"paymentId": "example-payment",
"receiptId": "example-receipt",
"requestId": "example-request",
"serviceId": "agent_tool_schema_validate",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "5000",
"resultSha256": "a838718609a8352d7307b0b84ce4e18c656b080415fdc8688fc066d0aa53b41a",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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