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

No annotations are provided, so the description carries the full behavioral burden. It implies an extraction/read operation and JSON output, but it does not state whether input files are modified, how errors are handled, or what behavioral constraints apply.

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 a single front-loaded sentence with no wasted words. It is appropriately sized for the tool's apparent purpose and avoids repeating schema details.

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 input schema fully documents the two parameters, and the description states the output is JSON. However, with no output schema present, the description does not clarify the shape of the extracted workout or the scope of extraction, leaving a moderate completeness gap.

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 100%, with both input_format and input_content documented directly in the schema. The description adds no parameter semantics beyond what the schema already provides, so the baseline score of 3 applies.

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: 'Extract' a 'structured workout' from a fitness file, returning it 'as JSON'. It is clear what the tool does, but it does not explicitly distinguish itself from siblings such as kaiord_inspect, kaiord_convert, or kaiord_validate.

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 single sentence gives no when-to-use guidance, prerequisites, or explicit alternatives. An agent must infer that this tool is for extraction rather than conversion, validation, inspection, or diffing.

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