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Yurzs

fatsecret-mcp-server

by Yurzs

Get Food Diary Entries

fatsecret_get_food_entries
Read-onlyIdempotent

Retrieve food diary entries for a specific date, with full nutrition breakdown by meal and daily totals.

Instructions

Get all food diary entries for a specific date. Shows what was logged for each meal with full nutrition breakdown.

Args:

  • date: Date as YYYY-MM-DD (default: today)

Returns: All food entries grouped by meal with calories, protein, carbs, fat per entry and daily totals.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDate YYYY-MM-DD (default: today)
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint. The description adds context about the return structure (grouped by meal with per-entry nutrients and daily totals), which goes beyond what annotations provide. No contradictions.

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 extremely concise: a one-sentence purpose statement followed by a compact args/returns section. Every sentence serves a purpose with no redundancy.

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

Completeness5/5

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

Given the tool's simplicity (single parameter, no output schema), the description fully covers what the agent needs: purpose, parameter format, default, and return structure. Annotations cover safety, making this complete for the complexity level.

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?

Since schema description coverage is 100% and the parameter is well-documented in the schema (date format, default), the description adds no additional semantic value beyond restating the schema. Baseline 3 applies.

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 clearly states it retrieves all food diary entries for a specific date with full nutrition breakdown. It effectively distinguishes from siblings like fatsecret_get_food_entries_month (monthly scope) and other CRUD tools by specifying the exact verb and resource.

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?

The description implies usage for a single date with today as default, but does not explicitly state when to use this tool versus alternatives (e.g., monthly entries, specific meal queries) or provide exclusions. No guidance on when not to use it is 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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