mcmillan_calculate_training_paces

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

With no annotations provided, the description carries the full burden. It discloses the tool's purpose and output structure but lacks behavioral details such as error handling for invalid inputs, computational complexity, or any rate limits. It does not contradict annotations, but could benefit from more operational context.

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 the core purpose in the first sentence, followed by clear sections for Args and Returns. Every sentence adds value without redundancy, making it efficient and well-structured for quick comprehension.

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 tool's moderate complexity (2 parameters, no annotations, but has an output schema), the description is mostly complete. It explains the purpose, parameters, and output structure. However, it could improve by addressing potential errors or linking to sibling tools for context, though the output schema reduces the need to detail return values.

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. It adds meaning by specifying that 'distance' is in meters and 'time' is in seconds, which clarifies units beyond the schema's basic number types. However, it does not provide validation rules or examples, leaving some gaps in parameter understanding.

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 states the specific action ('Calculate training paces for all zones'), methodology ('using McMillan methodology'), and input basis ('based on a race performance'). It distinguishes from siblings like 'daniels_calculate_training_paces' by specifying the McMillan methodology and from 'convert_pace' by focusing on comprehensive zone calculations rather than simple conversions.

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 usage context by stating 'based on a race performance,' which suggests when to use this tool (after a race result is available). However, it does not explicitly state when not to use it or name alternatives like 'daniels_calculate_training_paces' for different methodologies, missing full explicit guidance.

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