get_vo2_max_trends

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

'Returns' indicates a non-mutating read operation, which is the main behavioral trait. With no annotations, the description could add caveats about data freshness, availability, or authorization, but for a simple read tool this is a minimal but acceptable disclosure.

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?

A single front-loaded sentence with no filler. Every word adds useful information: the action, the metric, the time dimension, and the data source.

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 high-level return value is stated, but without an output schema or annotations the description does not specify result granularity or default behavior for omitted `days`. It is minimally viable yet leaves a clear gap in how an agent should interpret or parameterize the call.

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 schema documents only the type and bounds of `days`, and the description does not explain what `days` controls (such as lookback window or aggregation period), nor what omitting it returns. With 0% schema-description coverage, the description fails to compensate.

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 opens with a specific verb ('Returns'), a precise resource ('VO2 max fitness trends over time'), and a source ('Garmin Connect'). This clearly distinguishes the tool from sibling metrics such as get_heart_rate_trends and get_body_composition.

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 the use case: call when VO2 max trend data is needed. However, it offers no explicit comparison to sibling tools, no conditions, and no when-not-to-use guidance, leaving alternative selection to the agent's inference.

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