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davidmosiah

Wellness Nourish

After-log review

nourish_after_log_review
Read-onlyIdempotent

After a meal log, analyze daily changes and receive targeted nutrition corrections or next actions.

Instructions

Review the day after a meal log and explain what changed plus the next correction or action.

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=true, idempotentHint=true, and destructiveHint=false, indicating a safe read operation. The description adds minimal behavioral context beyond 'review' and 'explain', which is consistent but not additional.

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

Conciseness4/5

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

The description is a single concise sentence with no wasted words. However, it could be slightly longer to improve clarity without losing conciseness.

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 parameters with low schema coverage and no output schema, the description is insufficient. It fails to specify what the output format is, how parameters affect behavior, or what 'next correction or action' entails.

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 description coverage is only 11%, and the tool description does not explain any of the 9 parameters. Parameters like date, focus, meal_type, wearable_context, etc., are left unexplained, forcing the agent to infer from names alone.

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

Purpose3/5

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

The description states the tool reviews the day after a meal log and explains changes plus next action, but it is ambiguous whether it reviews the day following a log entry or reviews the day after logging. It does not clearly differentiate from sibling tools like nourish_daily_coach or 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.

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives such as nourish_daily_coach or nourish_suggest_next_meal. No exclusions or prerequisites are mentioned.

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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