get_lactate_threshold

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

No annotations are provided, so the description must carry the transparency burden. It does disclose that start_date is required for range queries and that start/end dates are ignored in latest mode, but it does not describe return shape, behavior with no data, or edge/error cases.

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 front-loaded with a one-sentence purpose, followed by a compact argument list. Every line carries necessary information with no filler or redundancy.

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 conditional parameter logic is well covered, but the interaction of aggregation with latest mode is not specified. Since there is no output schema, the description is also light on return-structure details, though it at least names heart rate, power, and speed.

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%, and the description fully compensates. It explains every parameter in detail: latest, start_date format and requirements, end_date default and ignored condition, and aggregation allowed values. This gives meaning the schema entirely lacks.

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 states a specific verb and resource: 'Get running lactate threshold data (heart rate, power, and speed).' This clearly identifies what the tool does and distinguishes it from related siblings like get_cycling_ftp or generic fitness metrics.

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 explains the two modes (latest vs range) and their parameters, and it names prerequisites such as start_date being required for range queries. However, it never explicitly tells an agent when to choose this tool over sibling tools or when not to use it; tool selection is only implied by the word 'running.'

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