analyze_trends

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

No annotations are provided, so the description is the sole source of behavioral information. It states what the tool does but does not disclose any behavioral traits such as the output structure, data sources, authentication requirements, or whether it performs predictions despite having an 'include_predictions' parameter. This lack of behavioral detail leads to a score of 2.

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 concise sentence that directly states the tool's purpose without any filler. It is well-structured and easy to parse.

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 3 optional parameters, no output schema, and no annotations, and it sits among many sibling tools with overlapping purposes. The description fails to explain return values, usage scenarios, or differences from siblings. This makes the description incomplete for an agent to correctly select and invoke the 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?

The input schema has full description coverage (100%) for all three parameters, providing a baseline of 3. The description does not add any extra meaning to the parameters; it mentions 'rising trends' but does not connect it to specific 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 uses specific verbs 'analyze' and 'identify' with clear objects (current trends, rising trends, cross-platform hotspots). It conveys the tool's purpose effectively. However, it does not explicitly differentiate from sibling tools such as analyze_pin_trends or get_hot_topics, which also deal with 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?

The description implies that the tool is used to analyze current trends, but it provides no explicit guidance on when to use it versus alternative tools like analyze_pin_trends or get_simple_trends. There are no mentions of exclusions or alternative recommendations. This gives only an implied usage context.

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