rank_project_skills

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions using 'local feedback metrics' and prioritizing for 'future recommendations,' which hints at a read-only analysis function, but fails to detail critical aspects like whether this operation is safe, requires specific permissions, affects data, has rate limits, or what the output entails. For a tool with 8 parameters and no annotations, this is a significant gap in transparency.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded with the core action ('rank project skills') and avoids redundancy, making it appropriately concise for its content.

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 tool's complexity (8 parameters, no annotations, but with an output schema), the description is minimally adequate. It clarifies the tool's purpose but lacks details on parameter usage, behavioral traits, and integration with siblings. The presence of an output schema mitigates the need to explain return values, but overall, the description is incomplete for effective agent use without additional context.

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 0%, meaning none of the 8 parameters are documented in the schema. The description does not mention any parameters, such as 'catalogPath' or 'metricsPath,' nor does it explain their roles, formats, or interactions. It adds no semantic value beyond the schema, failing to compensate for the low coverage, which is inadequate for a tool with this many inputs.

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 states the tool 'rank[s] project skills using local feedback metrics to prioritize reliable skills in future recommendations,' which provides a clear verb ('rank') and resource ('project skills') with a purpose ('prioritize reliable skills'). However, it does not explicitly differentiate this from sibling tools like 'rank_agent_packs' or 'recommend_project_agents,' leaving some ambiguity in its specific role within the toolset.

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 offers no guidance on when to use this tool versus alternatives, such as 'rank_agent_packs' or 'recommend_project_agents,' nor does it mention prerequisites, exclusions, or specific contexts. It implies usage for ranking based on feedback metrics but lacks explicit when/when-not instructions or named alternatives.

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