Generate Skill

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

The description adds context beyond the destructiveHint annotation by detailing that it clusters patterns and produces SKILL.md files. However, it does not explain the extent of potential destruction, such as whether it overwrites existing skills.

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 two sentences with no extraneous information. It front-loads the core purpose and provides key details efficiently.

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?

The description lacks information about prerequisites (e.g., feedback must be previously captured) and output format details. Given the absence of an output schema, more detail on the generated SKILL.md structure would improve completeness.

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% and both parameters have descriptions in the schema. The tool description does not add additional meaning beyond what the schema already provides, justifying the baseline score.

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 auto-generates Claude skills from repeated feedback patterns by clustering failure patterns and producing SKILL.md files. It distinguishes itself from sibling tools like capture_feedback and reflect_on_feedback.

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 usage on repeated feedback patterns, but does not specify when to use this tool over alternatives, nor does it mention prerequisites like having feedback captured first.

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