Trending fragrances

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

Annotations already indicate the operation is readOnly, idempotent, and non-destructive. The description adds meaningful behavioral detail beyond those annotations, including the fallback to catalog popularity when live data is unavailable and the fact that the chosen method is labeled in the response.

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 tight sentence that includes key details with no filler. The sentence reads slightly awkwardly, but it is efficient and front-loaded with the core concept.

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?

For a low-complexity tool with only one optional parameter, the description covers the data source, time window, fallback behavior, and response labeling. While there is no output schema, the basic return type is clearly implied, and the annotation covers the safety profile.

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 coverage for the only parameter, 'limit', including its min, max, default, and description. The tool description adds no additional meaning about the parameter, so the baseline score of 3 is appropriate.

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 identifies the resource (fragrances) and the specific ranking signal (fragrance users are adding to their wardrobes over the last 30 days), so an agent can understand what is returned. It doesn't include an explicit verb like 'lists' and does not directly name siblings, but the title and content together make the purpose unambiguous.

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 provides useful context about when the data is available and when it falls back to catalog popularity, but it never explicitly states when to choose this tool over the other fragrance tools. Usage is implied by the word 'trending' and the 30-day framing, not explicitly defined.

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