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

No annotations are provided, so the description must disclose behavior on its own, and it largely does not. It does not say what the returned kit contains beyond "step-by-step instructions," whether the call is a pure generation or a configuration, or how the optional query affects the output. The "30-day support promise" is irrelevant to tool invocation and takes the place of behavioral detail.

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 text is short but wastes its opening on a domain claim ("restaurant & brand intelligence") that does not match the tool. The closing support-promise sentence adds no actionable information. The one useful clause, about generating a tutorial kit workflow, is buried in the middle.

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 simple (one optional parameter, no output schema), so the description did not need to cover much. It still omits the platform identity that distinguishes it among dozens of near-identical `*-tutorial-kit` siblings, and it does not describe the return format. As written, an agent cannot confidently tell this apart from gzh-, xhs-, or zh-tutorial-kit.

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 explains `query`. The description adds no meaning about the acceptable syntax, scope, or effect of that query, so the baseline 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 says it will "generate a ready-to-use tutorial kit workflow," which is a specific verb-plus-resource statement. However, the opening phrase, "restaurant & brand intelligence pack," misdirects the agent by suggesting a restaurant or brand domain. Given the sibling set (gzh-tutorial-kit, xhs-tutorial-kit, sph-tutorial-kit, zh-tutorial-kit), the description also does not say which platform this kit is for (dy = Douyin), which is the main way this tool differs from its closest siblings.

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 given is "no prompt engineering needed," which is a marketing claim, not a condition for when to use this tool. There is no statement of when to choose this tool over other tutorial-kit siblings, no prerequisites, and no exclusions.

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