Get Trending Subjects

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

With no annotations, the description should carry the full behavioral burden. It conveys 'quick' and 'without full content analysis' but omits return format, data source, pagination, or permission requirements, making it insufficient for a tool with zero structural safety hints.

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 single-sentence description is extremely concise and free of fluff, but it may be under-specified; still, no wasted words.

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?

The tool has four optional parameters and no output schema. The description leaves the output format undefined and does not clarify the differences with analyze_content_trends, so agents may struggle to set correct expectations.

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 covers all four parameters with descriptions, enum, and defaults. The description adds no extra parameter semantics or usage examples, so baseline 3 is warranted.

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 identifies the tool as discovering trending subjects and hints at a lightweight scope ('without full content analysis'), but 'subjects' remains ambiguous and no direct comparison to sibling tools like analyze_content_trends is made.

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?

It implies a use case (rapid topic insights) and contrasts with full content analysis, but it doesn't explicitly state when to choose this over analyze_content_trends or search_content, nor does it mention any exclusions.

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