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x402_preflight__check

Preflight and monitoring for x402/HTTP APIs: free structural audit of any x402 402 challenge (accepts[], scheme, network, asset, amount, payTo), plus paid live probe (/check), headers, TLS, uptime history and a public monitored board. 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/check

Input Schema

NameRequiredDescriptionDefault
urlYeshttps URL of an x402-paid endpoint to probe

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior4/5

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

No annotations exist, so the description carries the full burden and it delivers non-obvious operational context: the call costs $0.01 USDC on Base (eip155:8453) and requires payment in params._meta["x402/payment"] — a requirement absent from the input schema. It does not describe failure modes or what a probe returns, but the payment/transport disclosure is substantial value beyond structured fields.

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

Conciseness3/5

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

A single run-on sentence packs the scope, price, payment mechanics, and endpoint together, with the broad category front-loaded rather than the actual action. Nothing is padding exactly, but the dense bundling makes the operative part (paid live probe) slower to find than the pricing and capability list.

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

Completeness3/5

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

Covers cost, payment channel, transport, and the fields audited, which is most of what a paid probe with no output schema needs. Still missing are error/refund behavior on failed probes and any indication of what a successful response contains, and the conflation of monitored board / uptime history leaves the caller unsure what this specific call returns.

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

Parameters4/5

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

Schema coverage is 100% for the single `url` parameter, so baseline is 3; the description adds meaning beyond the schema by documenting the hidden x402 payment envelope in params._meta, which an agent could not discover from the input schema. The enumerated audit surface (accepts[], scheme, network, asset, amount, payTo) further clarifies what the probe inspects.

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

Purpose3/5

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

Names a specific verb and resource ("paid live probe (/check)" of an x402-paid endpoint) plus a concrete HTTP endpoint, but wraps it in a bundle of other capabilities ("free structural audit", "headers, TLS, uptime history and a public monitored board") that belong to sibling tools. An agent cannot cleanly tell what this single call does versus x402_preflight__headers, x402_preflight__tls, or x402check__check.

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

Usage Guidelines2/5

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

States a price and a payment requirement but never says when to call this instead of the free structural audit path or the sibling headers/TLS tools. The orchestration is left implicit even though the description explicitly advertises multiple adjacent capabilities.

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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