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badchars

supply-chain-mcp-server

by badchars

pypi_package

Fetch PyPI package metadata including author, license, summary, project URLs, and Python version requirements for supply chain audits.

Instructions

Fetch PyPI package metadata including author, license, summary, project URLs, classifiers, and Python version requirements.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesPyPI package name, e.g. 'requests' or 'django'
Behavior2/5

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

No annotations are present, so the description must carry the full burden. It states the tool fetches metadata but does not disclose whether it is read-only, any rate limits, authentication needs, or whether the data might be cached. The description is minimal and lacks behavioral context beyond the basic action.

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 a single sentence that immediately states the verb and resource. It is concise, front-loaded, and contains no extraneous information.

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?

Given the tool has only one parameter, no output schema, and no annotations, the description adequately covers the tool's purpose and expected outputs. It is complete for a simple metadata fetch operation.

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 has one parameter ('name') with a descriptive example. Since schema coverage is 100%, the description adds no additional meaning beyond what the schema already provides. Baseline score of 3 is appropriate.

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?

The description clearly states the tool fetches PyPI package metadata and lists specific data fields (author, license, summary, etc.). However, it does not differentiate from sibling tools such as pypi_version or pypi_maintainers, which also retrieve package-related information.

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?

No guidance is provided on when to use this tool versus alternatives like pypi_version or pypi_releases. The description offers no context-specific usage advice.

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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