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x402_preflight__screen

Vet a list of x402 seller URLs and rank them pay/caution/avoid with an overall verdict. Returns count, overall_verdict, safe_to_pay and per-URL results. Price: $0.01 per call in USDC on Base (eip155:8453), paid with x402 in params._meta["x402/payment"]. HTTP: GET https://api.firstmention.uk/s/x402-preflight/screen

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "x402_preflight__screen"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the load and does disclose the essentials: it is a paid call ($0.01 USDC on Base, eip155:8453), the payment is supplied via params._meta['x402/payment'], and the transport is a GET to a named endpoint. It omits failure/rate-limit behavior and whether a failed payment still consumes anything.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three front-loaded sentences: purpose and verdict scale, return fields, then price/payment/endpoint. Nothing is wasted, though the return-field and payment details could be tightened into a single clause.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so naming count, overall_verdict, safe_to_pay and per-URL results is genuinely useful, and the pricing/payment mechanics are covered. The one material omission is the input encoding for the URL list.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single 'urls' parameter is typed as a plain string with 0% schema coverage, and the description only says 'a list' without specifying the encoding (comma-separated, newline-delimited, JSON array, or max count). That format ambiguity is exactly the gap the description needed to close.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Vet a list of x402 seller URLs') and the ranking output (pay/caution/avoid with an overall verdict), which distinguishes it from single-URL siblings like x402_preflight__check. It never explicitly names a sibling alternative, so differentiation is inferred rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The batch-of-URLs framing implies when this tool applies, but there is no explicit when-to-use or when-not-to-use guidance against the many overlapping siblings (x402_preflight__check, __audit, __verify, x402check__screen, x402index__verdict). Usage must be inferred from the object of the verb.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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