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

No annotations are provided, so the description must carry the behavioral burden. It says the pack includes a prompt, usage guide, and edge-case handling, but it does not explain what the tool actually returns, whether the query scopes output, or any operational constraints.

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 short and not padded, but it leads with the vague marketing phrase 'Turn expertise into output' rather than a concrete statement of purpose. It is concise without being well front-loaded for an agent.

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 tool is structurally simple, but the description still leaves the core concept of an 'avoid kit' undefined. With no output schema and no annotations, the description should clarify what the tool produces and how the optional query changes it; it does not.

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 the single optional query parameter is already documented as scoping the analysis. The description adds no parameter semantics beyond the schema, so the baseline score of 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 restates the tool name as an 'avoid kit prompt pack' and adds generic marketing language about helping restaurant and brand teams produce professional results. It never states a specific verb or resource, nor does it explain what 'avoid' means or how this kit differs from the many sibling kit tools.

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?

It names an audience but gives no when-to-use guidance, no exclusions, and no alternatives among the dozens of related dy-* kits. An agent cannot infer when this tool is preferable to dy-adcopy-kit, dy-checklist-kit, or another avoid-kit variant.

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