get_trending_topics

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the action ('discover trending topics') and platforms, but lacks details on permissions, rate limits, data freshness, or response format. For a tool that fetches data from multiple external sources, this is a significant gap in transparency.

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 concise and front-loaded with the core purpose in the first sentence. The second sentence adds value by suggesting a use case ('content inspiration'). There's no wasted text, though it could be slightly more structured for clarity.

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 and no output schema, the description is incomplete for a tool with 3 parameters and external data sources. It doesn't explain return values, error handling, or platform-specific behaviors. For a tool that aggregates trends from multiple platforms, more context is needed to ensure proper usage.

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 schema already documents all parameters (niche, source, limit) with enums and descriptions. The description adds no additional parameter semantics beyond what's in the schema, such as how filters interact or default behaviors. Baseline 3 is appropriate when the schema handles parameter documentation adequately.

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 purpose: 'Discover trending topics from HackerNews, Reddit, Google Trends, and Product Hunt.' It specifies the verb ('discover') and resources (trending topics from specific platforms). However, it doesn't explicitly differentiate from sibling tools like 'get_connected_platforms' or 'brainstorm_titles', which might have overlapping purposes.

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 minimal guidance: 'Great for finding content inspiration' implies usage for content creation, but it doesn't specify when to use this tool versus alternatives like 'brainstorm_titles' or 'generate_blog'. No explicit when-not-to-use scenarios or prerequisites are mentioned, leaving gaps in usage context.

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