get_activity_laps

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

With no annotations, the description must carry the full burden of behavioral disclosure. It mentions computation of NP from the record stream, implying a read operation, but does not explicitly state safety (read-only), required permissions, side effects, rate limits, or error conditions. The description is insufficient for an agent to understand behavioral expectations.

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 extremely concise at 12 words, with one sentence that front-loads the key output. It could be improved by clarifying the verb, but it is efficient with no wasted words.

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 output schema exists, the description does not need to detail all return fields, but it should explain the computed metric NP and how splits are organized. It feels incomplete for an agent unfamiliar with cycling metrics, but the output schema may compensate.

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 only parameter ride_id is self-explanatory from its name, but schema coverage is 0% and the description does not elaborate on its format, constraints, or relationship to the returned data. The description adds no meaning beyond the parameter name.

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 'Per-lap splits with per-lap NP computed from the record stream' clearly indicates the tool returns lap-level data with computed normalized power, distinguishing it from siblings like get_activity_streams (raw data) or get_activity_summary (overall data). However, it is phrased as a noun phrase rather than a verb phrase, missing an explicit action word like 'Retrieve'.

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 provided on when to use this tool versus alternatives such as get_activity_streams or get_activity_summary. There is no information about prerequisites, data freshness, or when this tool is appropriate.

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