athlete_hydration_plan

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

With no annotations, the description carries the full burden. It states the tool computes a sweat-rate estimate and generates recommendations, which implies a read‑only, non‑destructive operation. However, it does not disclose potential side effects, authorization needs, or the use of Vari's external service, leaving some behavioral traits unspecified.

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 substantive sentences plus a tagline. The first sentence states purpose, the second explains the computation. No redundant or extraneous information, and the key points are front‑loaded.

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 complexity (multi‑phase hydration plan), the description covers purpose, methodology, and output components (pre‑loading, in‑session intake, post‑session replacement). No output schema exists, but the description provides enough context for an AI to understand what the tool returns. Slightly more detail on output format could elevate it to a 5.

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 add meaning. It mentions weight, activity, intensity, duration, and environment and explains they contribute to sweat‑rate estimation, but it does not detail each parameter's format or the role of 'is_acclimatized'. The added context is helpful but not fully comprehensive.

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 generates a pre/during/post hydration plan for a single training session or event, based on reputable guidelines. It specifies the verb 'Generate', the resource 'hydration plan', and the context 'single training session or event', distinguishing it from sibling tools like general water intake or pregnancy calculators.

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 the tool is for athletes during training sessions/events and mentions guidelines but does not explicitly contrast with sibling tools or state when not to use it. No exclusion criteria or alternative recommendations are provided.

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