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minia2a-mcp-remote

x402-pypi-package-info

Pypi Package Info: Looks up a PyPI package and returns its version, summary, license, and homepage 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
nameNo
inputNo
packageNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • removedInput schema / properties / input / description
      Removed value: -"Input to process"
    • removedInput schema / properties / name / description
      Removed value: -"Name to process"
    • removedInput schema / properties / package / description
      Removed value: -"Package to process"
  2. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It does disclose a genuinely useful behavioral trait — '5 free trial calls per signed wallet' — which reveals a rate limit and an auth/wallet requirement. However it says nothing about what happens after the trial, whether payment is required, or error behavior.

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?

One sentence plus a short pricing note; the purpose is front-loaded and nothing is padded. The leading 'Pypi Package Info:' label duplicates the tool name and is the only wasted token.

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?

With no output schema, naming the returned fields (version, summary, license, homepage) usefully describes the response, and the trial limit covers billing context. But the three mutually ambiguous parameters go completely unaddressed, which is a real gap for calling the tool correctly.

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?

Three string parameters (name, input, package) at 0% schema description coverage, and the description explains none of them. An agent cannot tell whether these are aliases, which one is canonical, or that zero are required, so the ambiguity is left entirely unresolved.

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?

States a specific verb and resource ('Looks up a PyPI package') and enumerates exactly what comes back (version, summary, license, homepage). The 'PyPI' registry qualifier inherently separates it from the npm-package-info and crates-package-info siblings without needing to name them.

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 by the registry in the name — an agent can infer this is the tool for PyPI metadata, but the description offers no explicit when-to-use, no prerequisites, and no pointer to the npm/crates counterparts for other registries. Adequate but with a clear gap.

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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