analyze_repo

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 'free feature' but does not disclose important behavioral traits like data freshness, rate limits, or whether the analysis is a real-time snapshot vs. historical. The description is adequate but lacks depth.

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 very short and front-loaded with key details. 'Free feature' is a nice addition. However, it could include a bit more about output without becoming verbose, so not a perfect 5.

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 no annotations or output schema, the description should explain what the tool returns. It lists the data points but does not specify the structure or format of the output. Adequate but incomplete for a tool with no output schema.

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?

The input schema already fully describes the 'repo' parameter with format and examples (100% coverage). The description adds only a minor mention of 'repo name' and format, which does not significantly improve understanding beyond the schema.

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 provides deep analysis of a GitHub repo and lists specific metrics covered (stars, forks, growth rate, contributors, languages). It distinguishes from siblings like compare_repos and track_star_growth by being a general single-repo analysis tool.

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 implies when to use this tool (for comprehensive repo stats) but does not explicitly state when not to use it or mention alternative sibling tools. The context of siblings provides implicit differentiation, but the description could be more explicit.

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