trending-hub

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It implies a read-only aggregation query, but it does not describe return shape, default behavior when no parameters are supplied, whether date ranges are required, or any operational constraints. This is minimal and insufficiently transparent.

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 a single, front-loaded sentence with no filler. There is slight redundancy between '热点' and '热门话题', but overall it is compact and scannable.

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?

Given no annotations, no output schema, and many closely related siblings, the description is too thin. It omits expected output format, default behavior, differentiation from hot-topic alternatives, and operational caveats. Parameter documentation is complete, but that alone does not make the tool contextually complete.

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 description coverage is 100%, so the baseline is 3. The description's mention of platform and keywords reinforces the schema but adds no new semantic detail beyond what each parameter already documents.

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 clearly states a query/retrieval operation ('查询'/'获取') applied to a resource ('全网热点'/'热门话题') with explicit filters ('平台和关键词'). It is clear enough to distinguish from platform-specific hot-topic tools, but it does not explicitly differentiate itself from closely related siblings like trending-hub-top10.

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?

No guidance is provided about when to prefer this tool over alternatives such as trending-hub-top10, douyin-daily-hot, or weibo-hot-search. It does not state exclusions, prerequisites, or typical use cases, which is a notable gap given the large set of sibling tools.

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