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JJRPF

Garmin MCP Server

by JJRPF

get_nutrition_daily_meals

Retrieve daily meal summaries for a specified date, showing nutritional totals for breakfast, lunch, dinner, and snacks, and providing meal IDs for logging food items.

Instructions

Get daily meal summaries for a date

Returns meal-level summaries (breakfast, lunch, dinner, snacks) with nutritional totals for each meal. Each meal includes a mealId needed for logging food items to that meal.

Args: date: Date in YYYY-MM-DD format

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.4/5.0
Behavior4/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It explains what the tool returns (meal-level summaries with nutritional totals) and why the mealId matters for later food logging. This is useful behavioral context beyond simply saying 'get meals'.

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?

The description is short, front-loaded, and every sentence adds value: the main purpose, the return contents, the practical use of mealId, and the parameter format. No wasted words or irrelevant detail.

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

Completeness4/5

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

Given the tool's low complexity, a single parameter, and the presence of an output schema, the description sufficiently covers purpose, return semantics, and parameter format. It is complete enough for an agent to invoke the tool correctly, though a brief note on expected date ranges or behavior when no meals exist would be marginally helpful.

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

Parameters4/5

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

Schema coverage is 0%, so the description must explain the parameter. It does: the single 'date' parameter is described as 'Date in YYYY-MM-DD format'. This adds essential meaning beyond the bare schema definition, though it could go further by noting timezone or data availability considerations.

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?

The description uses a specific verb and resource: 'Get daily meal summaries for a date'. It further specifies the meal-level breakdown (breakfast, lunch, dinner, snacks) and the returned mealId, making the tool's purpose unambiguous and distinct from related nutrition tools like food logging.

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

Usage Guidelines4/5

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

The description clearly indicates this tool is used to retrieve meal summaries for a specific date. It does not explicitly mention alternatives or exclusions, but the context of 'daily meal summaries' and the mealId mention makes the intended use obvious in relation to sibling tools.

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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