get_trending_topics

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

No annotations are provided, so the description must carry the full burden. It describes the parameters and return format (JSON) but does not disclose whether the operation is read-only, destructive, or requires authentication. The behavior is partially transparent but lacks safety context.

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 well-structured with sections for Args, Returns, and Examples. Every sentence adds value, and the key details are front-loaded. It is concise yet informative, with no extraneous information.

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 that there is an output schema (though not shown), the description explains the return type (JSON list of topic frequencies) adequately. The parameter descriptions and examples cover typical scenarios. It is sufficiently complete for a tool of this complexity, though one might desire more detail on the output structure.

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 has 0% description coverage, meaning the schema provides no parameter explanations. The description fully compensates by detailing each parameter: top_n (default 10), mode (daily vs current), and extract_mode (keywords vs auto_extract). This adds significant value beyond the schema.

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 trending topic statistics, with explicit parameter details. While it doesn't explicitly distinguish from siblings like aggregate_news or analyze_topic_trend, the verb 'get' and resource 'trending topics' make the purpose clear.

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 includes usage examples but does not provide explicit guidance on when to use this tool versus alternatives or when not to use it. No exclusions or prerequisites are mentioned, leaving usage context partially implied.

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