get_twitter_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. It accurately describes the behavior: fetching current trending topics, optional filtering, and returning trend names with tweet counts. It does not mention rate limits or authentication but for a simple read operation, the description is sufficiently transparent.

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 wasted words. The first sentence states the core purpose, the second adds optional parameters and return values. Information is front-loaded and efficient.

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?

With one optional parameter, no output schema, and no annotations, the description is fairly complete. It covers purpose, filtering options, and return content. It could mention number of trends or pagination, but these are not critical for a basic trends tool.

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 the baseline is 3. The description adds the enumeration of categories ('news, sports, entertainment') which matches the schema's description. No additional semantics are provided beyond what the schema already offers.

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 action ('Get') and resource ('current trending topics on Twitter/X'), making the purpose obvious. It mentions optional filtering by category and what is returned. However, it does not explicitly specify that this tool provides global trends, leaving slight ambiguity versus the sibling tool get_twitter_place_trends which is for location-specific trends.

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 is given on when to use this tool versus alternatives. Notably, there is a sibling tool get_twitter_place_trends for location-specific trends, but the description does not mention this or provide any exclusion criteria. The only usage clue is the optional category filter.

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