Pre-workout nutrition

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds that the tool uses goals, current intake, and wearable context, but doesn't elaborate on behavior when data is missing or how the suggestion is generated, which is acceptable given annotation coverage.

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, efficient sentence that front-loads the purpose. It is concise, but given the tool has 9 parameters, a bit more structured detail could improve clarity without sacrificing brevity.

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 description lists input sources (goals, intake, wearable context) but does not specify output format, behavior when parameters are omitted, or how the suggestion is returned. With no output schema and 9 parameters, the description is incomplete for an agent to fully understand what the tool produces.

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 only 11% (only auto_wearable has a description). The description hints at recent_intake_id and wearable_context but does not explain the meaning or usage of date, focus, locale, meal_type, response_format, or workout_context. With low coverage, the description adds minimal value beyond the 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 suggests light pre-workout nutrition using goals, current intake, and optional wearable context. The verb 'suggest' and resource 'light pre-workout nutrition' are specific, and the context of pre-workout distinguishes it from sibling tools like nourish_suggest_next_meal.

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 explicit guidance on when to use this tool versus alternatives. It implies usage for pre-workout nutrition but does not mention when not to use it or what sibling tools (e.g., nourish_daily_coach, nourish_suggest_next_meal) cover other contexts.

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