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minia2a-mcp

x402-payment-audit

x402 Payment Endpoint Trust Check: Black-box check: does the x402 endpoint verify payment (reject forged txHash/signature/replay) before delivering? Buyer-side trust check before you pay. Returns SAFE/RISK/NOT_X402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden. It states the tool is a black-box check, lists the specific attack vectors it evaluates (forged txHash/signature/replay), and discloses the exact output taxonomy (SAFE/RISK/NOT_X402). It does not mention whether the check makes network calls or has side effects, but 'buyer-side trust check before you pay' implies a non-destructive probe.

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

Conciseness5/5

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

The description is compact—roughly 30 words—and every clause adds information: what the tool is, what it checks, who it is for, and what it returns. It is front-loaded with the tool's identity and uses efficient punctuation to organize the content.

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 zero-parameter tool, the description covers the core aspects: purpose, checks performed, usage timing, and return values. However, it does not explain how the target x402 endpoint is identified or provided given the empty input schema, which could leave an agent unsure about what endpoint is being audited. This minor gap keeps it from a 5.

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?

There are zero parameters, so the baseline is 4. The description correctly avoids inventing parameter details; it focuses on behavior and output. Since no parameters exist, there is no semantic gap to compensate.

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 identifies a specific action and resource: a black-box trust check on an x402 endpoint to determine whether it verifies payment before delivering content. It clearly names the checks performed (forged txHash/signature/replay rejection) and the return values (SAFE/RISK/NOT_X402). This distinguishes it from the broad sibling list, which contains generic audit and AI tools but nothing covering x402 payment endpoint trust.

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?

The phrase 'Buyer-side trust check before you pay' gives clear usage context: call this when a buyer wants to verify an x402 endpoint before committing payment. It does not explicitly name alternative tools or state when not to use it, but the usage scenario is concrete enough to guide selection.

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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TDQS

D1.6/5.0
Disambiguation1/5

The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.

Naming Consistency2/5

Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.

Tool Count1/5

1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.

Completeness2/5

The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.

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