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

With no annotations and no output schema, the description carries the full behavioral burden. It says the tool ships as a 'full prompt kit with step-by-step instructions' and includes a support promise, but it does not explain what the tool actually returns, how the optional query affects output, or whether it generates prompt text versus performing analysis.

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 three sentences but spends substantial space on marketing language such as 'AI-powered,' 'no prompt engineering needed,' and a '30-day support promise.' These claims do not help an agent select or invoke the tool, and the key operational purpose is not front-loaded.

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?

For a tool named zh-compare-kit among many platform-specific content kits, the description never clarifies what a 'compare kit' contains, what platform or content format it targets, or what output an agent should expect. The support promise and 'restaurant & brand intelligence' framing do not compensate for these gaps.

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?

There is only one optional parameter and schema description coverage is 100%, so the schema already documents that 'query' scopes the analysis. The description adds no additional meaning or formatting guidance for that parameter; baseline 3 is appropriate when schema coverage is high.

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 a verb and resource: 'generate a ready-to-use compare kit workflow.' However, it frames the tool as a 'restaurant & brand intelligence pack,' which is confusing given the 'zh-compare-kit' name and the many sibling content-kit tools. It does not distinguish this compare kit from sibling compare kits such as dy-compare-kit, gzh-compare-kit, sph-compare-kit, or xhs-compare-kit.

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?

There is no guidance on when to use this tool versus alternatives. The description does not mention the relevant platform or content type, nor does it say when a user should choose zh-compare-kit over zh-compete-kit or another compare-kit sibling.

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