Find activities and likely races

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

With no annotations provided, the description carries the full burden and does well: it discloses read-only behavior, pagination, and that race flags are 'likely-race signals' not provider-confirmed metadata. This is meaningful behavioral context. It stops short of explaining 'canonical' semantics or error behavior, so it is not a perfect 5.

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 compact—three short sentences—and every sentence supplies information: core purpose, behavioral nuance, read-only safety, and a prerequisite. It is front-loaded with the main action and avoids redundant phrasing.

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 ten parameters, no output schema, and no annotations, the description covers the key points: purpose, pagination, read-only nature, and preprocessing with list_athletes. However, it leaves gaps around cursor mechanics, sorting, default limit, and the shape of returned data, so the agent cannot fully predict the result format without additional inference.

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 description coverage is 0%, so the description must compensate for ten parameters. It only names filter categories ('sport, distance, name, and date') rather than mapping to actual parameters or explaining sort, limit, cursor, sports, and athleteId. This is insufficient for an agent to correctly construct a request using the less obvious 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 a specific verb and resource: 'Find canonical activities by sport, distance, name, and date.' It also clarifies the 'likely-race signals' output, which adds distinctiveness beyond merely 'find activities.' However, it does not explicitly name or contrast a sibling tool, so it falls just short of full differentiation.

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 gives a clear prerequisite: 'Requires athleteId from list_athletes,' which tells the agent a necessary dependency. It also labels the tool as read-only, signaling safe usage. Yet it does not state when to choose this tool over alternatives such as latest_cycling_activities or review_activity_deep_dive, so the usage context is only implied.

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