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

With no annotations, the description carries the full burden. It does disclose the delivered payload ('complete prompt, usage guide, and edge-case handling'), which is genuinely useful, but says nothing about output format, whether it stores state, or what the returned content looks like beyond that packaging list.

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?

Three sentences of promotional copy, with 'in minutes' and 'Turn expertise into output' as pure filler. The one informational item, the contents list, is buried last instead of 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 with no annotations and no output schema, the definition should at minimum pin down the platform (Douyin), the artifact produced, and how it differs from the sibling comment kits. None of that is present, so an agent cannot make a confident selection decision from this text alone.

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 a single optional parameter with 100% schema description coverage, so the schema already explains 'query'. The description adds no meaning about how the query scopes the generated kit, which is the baseline-3 case rather than a gap.

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 name's promise ('comment kit prompt pack') and adds only marketing language ('Turn expertise into output', 'professional results in minutes'). It never states a concrete action such as generating Douyin comment copy, seed comments, or reply banks, and never distinguishes dy-comment-kit from the many sibling comment kits (gzh-comment-kit, xhs-comment-kit, sph-comment-kit, zh-comment-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?

The only guidance is an audience hint ('restaurant and brand teams'), with no statement of when to choose this tool, when not to, or which sibling handles the same job on another platform. An agent facing five near-identical comment kits gets no routing signal at all.

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