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emre6943

Trackfusion MCP Server

by emre6943

log_meal_template

Add all items from a meal template to a chosen date and meal type, turning saved meal plans into daily meal entries in one action.

Instructions

Log all items from a meal template as meal entries for a specific date and meal

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesTemplate ID
mealTypeYesMeal type
dateStringYesDate to log (YYYY-MM-DD)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior2/5

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

No annotations are present, so the description carries the full behavioral burden. It discloses that all template items become meal entries, but it does not say whether existing entries for that date/meal are preserved, replaced, or duplicated, nor what the call returns. This is a significant gap for a mutating bulk operation.

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 a single, front-loaded sentence with no filler. Every phrase earns its place: the action, the scope ('all items'), the source ('meal template'), and the target ('specific date and meal').

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?

With no annotations and no output schema, the description should clarify side effects and result shape. It provides the core invocation context but omits whether the operation is additive, idempotent, or replacing, and what response the agent should expect. This makes it incomplete for a write operation.

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

Parameters3/5

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

The schema fully describes all three parameters, including the date format and meal type enum, so the description does not need to repeat them. The description adds the useful bulk-logging context but no parameter-specific meaning beyond the schema.

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 ('Log') and resource ('meal template'), and clearly explains the outcome ('as meal entries') plus the target date and meal. This distinguishes it from sibling tools like list_meal_templates and create_meal_entry by signaling a bulk logging action.

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 gives clear context: use this tool when you want to log all items from a meal template for a specific date and meal. It does not explicitly name alternatives or exclusions, but the scenario is specific enough to guide an agent reasonably.

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