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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the specific physiological predictions and source citation, but does not disclose additional behavioral traits such as assumptions, limitations, or data requirements beyond the schema.

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 two sentences, front-loaded with the main verb and result list, and includes a source attribution. It is concise with no superfluous content.

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 presence of an output schema and strong annotations, the description adequately conveys the tool's purpose and expected outputs. It could benefit from usage guidance, but for a focused prediction tool with well-documented parameters, it is sufficiently complete.

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% as each parameter has its own description (e.g., 'Sauna temperature in °C', 'Cold plunge after each sauna session'). The tool description itself provides no parameter-specific detail, so the baseline 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 clearly states the tool's function with a specific verb ('Predict') and resource ('sauna heat-acclimation protocol'), and enumerates the precise outputs (plasma volume expansion, VO₂max gain, etc.). This distinguishes it from sibling tools like caffeine_protocol or pacing_strategy.

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 for sauna heat-acclimation planning but provides no explicit when-to-use or when-not-to-use guidance, nor does it reference alternative tools. An agent can infer the use case from the content, but exclusions and comparisons are absent.

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