open-context_get_python_info

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

No annotations are provided, so the description carries full burden. It mentions caching behavior, which is a useful trait, but it does not disclose other important aspects like authentication requirements, rate limits, the nature of the returned data (e.g., version, dependencies), or potential side effects. The description is too vague.

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

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

The description is a single, front-loaded sentence with no wasted words. It efficiently communicates the tool's action and source.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the absence of an output schema, the description should explain what information is returned (e.g., version, dependencies, metadata). It only says 'information about Python packages,' which is too vague. The tool has two parameters and no output schema, so the description leaves significant ambiguity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% because both parameters have clear descriptions in the schema. The description adds no extra meaning beyond the schema; it repeats the source (PyPI). Baseline 3 is appropriate as the schema already documents parameters well.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool fetches and caches information about Python packages from PyPI. It uses a specific verb ('Fetch and cache') and resource ('Python packages from PyPI'), and the sibling tools are for different ecosystems, so it is well-distinguished.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide explicit guidance on when to use this tool versus alternatives, such as when to use get_python_info vs other ecosystem tools. The context from sibling names implies it is for Python packages, but no exclusions or when-not-to-use instructions are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.