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

No annotations are provided, so the description must carry the full behavioral burden. It says the pack includes a prompt, usage guide, and edge-case handling, but does not describe what the tool actually returns, whether it performs generation or just retrieves a template, 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 but front-loads a slogan ("Turn expertise into output") and promotional claims ("professional results in minutes") rather than useful task information. Several sentences do not earn their place because they add no concrete guidance.

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?

With no annotations and no output schema, the description should explain the tool's core behavior and return expectations. Instead it gives generic prompt-pack marketing and omits the platform-specific purpose implied by the dy- prefix, leaving the definition incomplete for an agent to use confidently.

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 one optional query parameter, and schema description coverage is 100%, so the schema already documents it. The description adds no additional meaning about how the query scopes the analysis, 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 mostly restates the name with marketing phrasing: "explain kit prompt pack" and "turn expertise into output." It does not clarify what platform or task this is for (e.g., Douyin explainer content) or distinguish it from siblings such as gzh-explain-kit, xhs-explain-kit, sph-explain-kit, and zh-explain-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?

It names a broad audience ("restaurant and brand teams") but gives no when-to-use guidance, prerequisites, or alternatives. There is no indication of when an agent should choose dy-explain-kit over the many other explain-kit siblings.

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