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davidmosiah

Wellness Nourish

Pre-workout nutrition

nourish_pre_workout_nutrition
Read-onlyIdempotent

Provide pre-workout nutrition suggestions using your goals, recent intake, and optional wearable context. Select a focus like balanced, protein, or hydration to fuel your workout.

Instructions

Suggest light pre-workout nutrition using goals, current intake, and optional WHOOP/Garmin context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo
focusNo
localeNoen-US
meal_typeNo
auto_wearableNoIf true and no wearable_context is passed inline, try to read the most recent shared wellness_context from ~/.delx-wellness/ (written by a wearable connector). The coach reports whether a context was actually found; it never fabricates wearable data. Inline wearable_context always wins over the auto-pulled one.
response_formatNojson
workout_contextNo
recent_intake_idNo
wearable_contextNo
Behavior3/5

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

Annotations already declare readOnlyHint and idempotentHint, so the description's burden is lower. It mentions using wearable context, which is consistent. However, it does not disclose that auto_wearable may read a local file, which is only in the schema parameter description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, front-loaded with verb, no unnecessary words. Every part earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 9 optional parameters and no output schema, the description is too sparse. It does not explain output format, relationship to goals, or behavior when wearable context is missing. Many critical details are omitted.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is low (11%: only auto_wearable has a description). The tool description does not elaborate on any of the 9 parameters beyond vague references. It does not explain date, locale, meal_type, workout_context, or response_format.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the verb 'suggest', the resource 'light pre-workout nutrition', and the inputs 'goals, current intake, and optional WHOOP/Garmin context'. It distinguishes from siblings by specifying pre-workout context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implicitly suggests use before a workout, but no explicit guidance on when to prefer this over alternatives like nourish_suggest_next_meal or nourish_daily_coach. No exclusion criteria or alternative names given.

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

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