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pluton74mac

garmin-mcp-triathlon

by pluton74mac

delete_food_log

Permanently remove a logged food item from a Garmin nutrition log by log ID and meal date. Handles quick-add and regular entries.

Instructions

Delete a food log entry

Permanently removes a logged food item from the nutrition log. Works for both QUICK_ADD and REGULAR_LOG entry types. Use get_nutrition_daily_food_log to find the logId and date.

Args: log_id: Log entry ID to delete — a 32-char hex UUID (from get_nutrition_daily_food_log) meal_date: Date of the log entry in YYYY-MM-DD format

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
log_idYes
meal_dateYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden, and it delivers the most safety-critical fact: the removal is permanent (irreversible). It also notes the entry-type scope, which helps interpret effects. It omits auth/permission needs and error behavior, keeping it below 5.

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?

Front-loads the destructive action, then scope, then sourcing guidance, then per-argument detail. Every sentence adds information; the Args section cleanly mirrors the two parameters without waste.

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?

For a 2-param destructive tool with an output schema (so return values needn't be explained), the description covers purpose, irreversibility, entry-type scope, ID sourcing, and both parameter formats. It's complete enough to call correctly, only missing edge/error handling nuance.

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

Parameters5/5

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

Schema coverage is 0% and the schema only offers a bare anyOf(integer,string) for log_id, so the description must compensate. It does: log_id is a 32-char hex UUID sourced from get_nutrition_daily_food_log, and meal_date is YYYY-MM-DD. This adds substantial meaning the schema lacks.

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

Purpose4/5

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

States a specific verb (Delete) and resource (food log entry / logged food item from the nutrition log), and clarifies it covers both QUICK_ADD and REGULAR_LOG entry types. This reasonably distinguishes it from the sibling delete_food (custom foods) and delete_activity, though it doesn't name those siblings explicitly.

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?

Explicitly directs the agent to call get_nutrition_daily_food_log first to obtain the logId and date, which is real prerequisite guidance. It stops short of stating when-not-to-use or what to do if the entry is missing, so it doesn't reach a full 5.

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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