get_popular_apis

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

With no annotations, the description bears full responsibility for behavioral disclosure. It only states it 'gets' data, implying a read operation, but does not confirm idempotency, rate limits, or if authentication is needed. The metric calculation method is undisclosed.

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, efficient sentence with no redundant words. It could be slightly expanded to include key behavioral details without losing conciseness.

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 lack of output schema and the presence of 19 sibling tools, the description fails to provide sufficient context. The agent does not know what data is returned (e.g., full API objects vs. names) or how popularity is measured, making it hard to choose confidently among similar tools.

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% coverage for the single parameter (limit with description and default). The description adds no additional semantics beyond the schema, so it meets the baseline for well-documented parameters.

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 retrieves 'most popular APIs' using a verb+resource pattern. It distinguishes from siblings like get_api (single API) and search_apis (filtered search) by focusing on popularity. However, 'various metrics' is vague, leaving the agent uncertain about what drives popularity.

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 tool versus alternatives. It does not mention that this tool is for discovering trending APIs, nor does it advise against using it for specific API lookups. The agent must infer usage from the name alone.

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