tiktok_popular_trend_country_industry_meta

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

With no annotations, the description carries the full burden. It accurately describes a read-only retrieval of metadata with no side effects. It does not mention caching or rate limits, but for a simple metadata endpoint, the behavior is sufficiently disclosed.

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 only two sentences, front-loaded with the verb, and contains no redundant information. Every word is necessary.

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 output schema and no parameters, the description explains what the metadata contains (country and industry) and its purpose. However, it could add more detail about the structure or format of the returned data.

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?

The input schema is empty with 100% coverage. Per guidelines, 0 parameters warrants a baseline of 4. No additional parameter semantics are needed.

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 it retrieves TikTok popular-trend country and industry metadata, using the specific verb 'retrieve' and identifying the resource as metadata for popular-trend endpoints. It distinguishes itself from sibling tools like tiktok_popular_trend_creator and tiktok_trending by specifying the metadata nature.

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 description implies usage context—it returns metadata used by popular-trend endpoints, indicating it should be called before those endpoints. However, it does not explicitly state when to use or not use it, nor mention alternatives.

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