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SignalHarness Agent Tool Call Argument Checker
x402
SignalHarness Agent Tool Call Argument Checker is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-16).
Validates and analyzes JSON arguments passed to agent tool calls, returning warnings and analysis about the caller-supplied data.
Price / call$0.01
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object indicating whether the call is a replay, the service ID, an analysis_json string containing the parsed and validated argument data, an evidence_scope field indicating the data source (e.g. 'caller_supplied_data'), a list of warnings, and a full receipt object with payment details, latency, execution IDs, and a SHA-256 result hash.
Example use cases
Pre-flight agent tool argument validation
“Before I invoke that weather tool, run a check on these arguments I'm about to send — {"latitude": 40.7128, "longitude": -74.006, "units": "metric"} — and flag any warnings or problems with the payload.”
Debugging malformed tool call inputs
“I'm getting weird results from my agent's tool calls. Can you analyze this JSON argument blob to see if there's anything structurally wrong or suspicious with it? Here's what it's sending: {"query": null, "limit": -1, "mode": "fast"}.”
Safety check on agent-generated arguments
“My agent just generated these arguments to pass to a payment tool — {"amount": 9999, "currency": "USD", "recipient": "unknown"} — can you validate them and tell me if there are any warnings I should know about before I let this go through?”
Technical details
Endpoint
POSThttps://signalharness.ai/api/agent/services/agent_tool_call_argument_check/invokeWhen to prefer
Use this endpoint when an AI agent needs to validate or sanity-check JSON arguments before passing them to a tool call, especially in safety-critical or payment-adjacent workflows. It is particularly valuable when agents generate their own arguments and you want a second-pass check for malformed data, suspicious values, or schema violations. Prefer this over rolling your own JSON schema validator when you want a pay-per-call, agent-native service with a receipt and audit trail.
Side effects
- Malformed or non-JSON request_json string returns an error
- Payload exceeds 65536 character limit and is rejected
- Caller-supplied data may not represent true schema validity — warnings always note to verify independently
- Payment failure via x402 prevents execution
- Ambiguous or missing request_json field causes invocation failure
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_call_argument_check",
"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_call_argument_check",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "10000",
"resultSha256": "381c26a429b5fdd738a82a32af7e0086e023d001d00e86a8c87828bda3c75acb",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
}Tags
x402
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