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minia2a_check_endpoint

Read-only

Check if any x402 endpoint is ready for autonomous AI agents by validating 9 signals, including payment headers and handshake. Get a 0-100% readiness score with per-check PASS/FAIL details before paying.

Instructions

Validate any x402 endpoint for Claude Code auto-mode readiness (Aug 14, 2026). Checks 9 signals: HTTP reachability, JSON content-type, 4 payment headers (x-402-amount/chain/token/recipient), trial info, registration path, and /api/agent-ready handshake. Returns a score (0-100%) with per-check PASS/FAIL detail. Use this before calling a paid endpoint to verify it works with autonomous agents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpointUrlYesThe endpoint URL to validate (e.g., 'https://minia2a.uk/x402/gas')

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A4.3/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description discloses the nine validation signals, the return format (score 0-100%), and the per-check PASS/FAIL detail. This accurately sets expectations for behavior and output without contradicting the annotations.

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?

The description is moderately long but every component adds value: purpose, check list, return format, and usage note. The date and parenthetical example are minor extras, but the text is generally tight and front-loaded.

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?

For a single-parameter validation tool with no output schema, the description adequately covers what it checks, what it returns, and when to use it. It does not mention failure behavior or network prerequisites, but these are not essential for correct selection and invocation.

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

Parameters3/5

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

The input schema already covers the single parameter (endpointUrl) with 100% description coverage and an example. The description adds no additional parameter semantics beyond the schema, so the baseline of 3 applies.

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

Purpose5/5

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

The description names a specific verb ('Validate'), a specific resource ('any x402 endpoint'), and a concrete purpose ('Claude Code auto-mode readiness'). It enumerates the exact checks, making it clearly distinguishable from siblings like minia2a_list_services and minia2a_call_service.

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

Usage Guidelines4/5

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

It explicitly states 'Use this before calling a paid endpoint to verify it works with autonomous agents', which gives a clear when-to-use instruction. It does not mention when-not-to-use or alternatives, but the pre-call usage directive is actionable and sufficient.

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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