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PyPI Package Info

pypi.packages.info
Read-onlyIdempotent

Retrieve metadata for any Python package from PyPI: version, summary, license, author, dependencies, classifiers, and Python version requirements. Supports specific version lookup for dependency intelligence.

Instructions

Get metadata for any Python package from PyPI: version, summary, license, author, dependencies, classifiers, Python version requirements. 550K+ packages. Supports specific version lookup. Complements npm (UC-344) for polyglot dependency intelligence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
packageYesPython package name (e.g. requests, flask, numpy, anthropic)
versionNoSpecific version (e.g. 2.31.0). Defaults to latest release.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior2/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint. Description adds no extra behavioral context (e.g., rate limits, pagination, or data freshness). It only lists return fields, which is not behavioral.

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?

Description is two sentences, front-loaded with core purpose. Efficient but could be slightly more structured (e.g., including a quick usage tip).

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?

Given output schema exists, description doesn't need return value details. However, it lacks guidance on version parameter usage, typical use cases, or any limitations. Adequate for basic understanding but not comprehensive.

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 coverage is 100%, so baseline is 3. Description does not add meaning beyond schema; it lists return fields but not parameter usage beyond what schema provides. No extra parameter clarification.

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?

Description clearly states it retrieves metadata for Python packages from PyPI, listing specific data fields. It mentions complementary use with npm, but does not explicitly differentiate from sibling 'pypi.packages.releases'. Still, the verb 'Get metadata' is specific.

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 explicit guidance on when to use this tool versus alternatives, such as pypi.packages.releases. The mention of 'complements npm' is vague and does not provide concrete usage context or exclusions.

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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