track_topic_trends

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

With no annotations, description carries full burden but only mentions aggregation; does not disclose read-only nature, rate limits, data freshness, or the actual output structure, leaving the agent uncertain about operational characteristics.

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?

Two sentences, no fluff, directly states the core function and listed platforms; efficient and front-loaded.

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 moderate complexity (multi-platform aggregation), description lacks detail on return format (e.g., trends per platform or combined). Agent needs more context to know what the tool produces.

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 coverage is 100%, so description adds marginal value; topic parameter includes examples, but no additional semantics beyond the schema's own descriptions.

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?

Description states a specific verb ('track') and resource ('topic trends') across multiple named platforms, clearly distinguishing from sibling tools that focus on single platforms or search.

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?

No guidance on when to use this aggregate tool versus platform-specific siblings (e.g., get_hackernews_stories) or when not to use it; agent must infer context from naming alone.

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