convert_pace

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does reveal the return format (dict with value, formatted, unit) and error conditions (ValueError for invalid units or unsupported conversions), which is valuable. However, it doesn't mention performance characteristics, rate limits, or whether this is a pure calculation tool versus one that stores data.

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 well-structured with clear sections (Args, Returns, Raises) and every sentence earns its place. The opening statement establishes purpose, followed by comprehensive parameter documentation, return value specification, and error conditions - all without unnecessary elaboration.

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 mathematical nature (unit conversion), no annotations, and the presence of an output schema (implied by the Returns section), the description is reasonably complete. It explains what the tool does, documents all parameters, specifies the return format, and mentions error conditions. The main gap is lack of differentiation from sibling tools.

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?

With 0% schema description coverage, the description fully compensates by clearly documenting all three parameters: 'value' as the numeric value to convert, 'from_unit' as the source unit with valid options enumerated, and 'to_unit' as the target unit with the same valid options. This provides complete semantic understanding beyond the bare schema.

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 tool's purpose as converting between pace and speed units, using the specific verb 'convert' and specifying the resource as 'different pace and speed units'. However, it doesn't explicitly differentiate from sibling tools like 'daniels_calculate_training_paces' or 'mcmillan_calculate_training_paces', which might involve similar unit conversions but in different contexts.

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 provides no guidance on when to use this tool versus the many sibling tools available. With multiple Daniels and McMillan calculation tools that likely involve pace/speed conversions, there's no indication of when this general conversion tool is preferred over those more specialized tools.

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