python_install_deps

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It reveals the tool installs dependencies and auto-detects package managers, but omits details on side effects (e.g., modifying virtual environments), error behavior, or requirements like a lock file. Given it's a mutation tool, more context is needed.

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?

A single, concise sentence that front-loads the action and key details (package managers, auto-detection). Every word earns its place with no redundancy.

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?

With 5 parameters, no output schema, and no annotations, the description is brief but covers the core purpose. The schema handles parameter details adequately. However, for a tool that modifies environment, additional context on safety or expected outcomes would improve completeness. It is minimally sufficient.

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 coverage is 100% with adequate descriptions for all 5 parameters. The description adds the 'auto-detection' context for packageManager and mentions the supported tools, but these are already in the enum. The description does not significantly enhance understanding beyond the schema, so baseline 3 is appropriate.

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 verb 'Install', the resource 'Python dependencies', and specifies the supported package managers (uv, poetry, pipenv, pip) with auto-detection. This distinguishes it from sibling tools like python_build or python_test.

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 provides no explicit guidance on when to use this tool versus alternatives. There is no mention of prerequisites, when not to use it, or how to choose between package managers beyond the 'auto' option. The context of sibling tools suggests it's for installing dependencies, but no direct guidelines are given.

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