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madebuyable_audit

Audit public API, MCP, x402 or documentation URL discoverability. Returns scored JSON and plain-English fixes; unavailable checks are Inconclusive. Free, read-only public GET requests.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "madebuyable_audit"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does a reasonable job: it declares the operation is a free, read-only public GET (safety and cost profile), and it discloses the result contract — scored JSON plus plain-English fixes, with unavailable checks reported as Inconclusive. It stops short of covering rate limits, failure behavior for non-public or unreachable URLs, or how the score is computed.

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 short sentences, front-loaded with the action and immediately followed by the return contract and the safety/cost profile. The final fragment 'Free, read-only public GET requests.' is telegraphic but each clause carries distinct information, so nothing is wasted.

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 tool with no output schema, the description covers action, return shape, inconclusive-case semantics, and the read-only/free constraint. The main remaining gap is what happens on invalid, private, or unreachable URLs, which matters because the whole tool is about probing external URLs.

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?

Schema description coverage is 0% for the single 'url' parameter, so the description must compensate. It does add meaning the schema lacks — the URL must be public and must target an API, MCP server, x402 endpoint, or documentation page — but it gives no format, normalization, or length guidance beyond the schema's uri/2048 constraint.

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 ('Audit') and a specific object ('public API, MCP, x402 or documentation URL discoverability'), so an agent knows exactly what the call does. It does not need to differentiate from siblings, since creator_desk_standard_info and creator_desk_verify_completion cover unrelated territory, but it also never says so explicitly.

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?

Usage is only implied: the tool audits 'public' URLs of four named kinds (API, MCP, x402, docs), which implicitly excludes private/authenticated endpoints. There is no explicit when-to-use/when-not-to-use statement, no mention of what an agent should do with the Inconclusive result, and no guidance on choosing this over any other verification path.

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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