Analyze Content Trends

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 states what the tool does but does not describe the return format, whether it is read-only, potential side effects, pagination, or how the analysis is performed. The description essentially restates the purpose without adding behavioral context beyond the name.

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, concise sentence that is appropriately front-loaded with the core purpose. It contains no redundant information or filler words, making it efficient and easy to parse.

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 the tool has six parameters and no output schema, the description is incomplete. It does not explain what the analysis returns, how to interpret the results, or how the optional parameters affect the outcome. Context is minimal, and the description alone would be insufficient for an agent to know how to effectively use the tool's capabilities.

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 schema provides 100% description coverage for all six parameters, so the description does not need to compensate. However, the description itself adds no extra semantic detail beyond what the schema already provides. The phrase 'different timeframes' loosely maps to the 'timeframe' parameter, but the schema already explains this, so the description adds marginal value.

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 the tool's function: analyzing trending topics and content patterns across timeframes. It uses a specific verb ('analyze') and resource ('trending topics and content patterns'). However, it does not explicitly distinguish itself from sibling tools like 'get_trending_subjects' or 'search_content', which are related but different in scope.

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 provides no explicit guidance on when to use this tool versus alternatives. It implies usage through its purpose but does not offer exclusions, prerequisites, or comparisons to sibling tools. There is no mention of scenarios where this tool would be preferred over 'get_trending_subjects' or a general content search.

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