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edgargalvan

mise-en-place

by edgargalvan

list_recipes

Retrieve saved recipes filtered by protein or calorie ranges, or by containing a specific food ID. Filters apply to current recipes for accurate, up-to-date results.

Instructions

List saved recipes, optionally filtered by protein range, calorie range, or whether a given fdc_id appears as an ingredient. Filters run against each recipe's current plate, computed fresh on read.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It goes beyond a simple list by revealing that filters are computed against each recipe's current plate and are fresh on read, which is meaningful behavioral context. It does not disclose sorting or pagination, but those are not essential for a list tool with an output schema.

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?

Two sentences, no filler, and the primary operation is front-loaded. The second sentence earns its place by clarifying freshness semantics that are not visible from the schema.

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?

The tool is simple, and an output schema exists, so return-value details are not required. The description covers the operation, filter semantics, optionality, and freshness. It stops short of perfect completeness by not stating whether multiple filters combine with AND, but this is a minor gap for a listing tool.

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?

The input schema has no parameter descriptions, so the description must compensate. It does, by mapping 'protein range', 'calorie range', and 'fdc_id appears as an ingredient' to the schema's min_protein_g, max_kcal, and contains_fdc_id. This adds functional meaning beyond bare parameter names.

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 states a specific action ('List saved recipes') and a clear resource, with optional filtering dimensions. It is distinguishable from siblings like get_recipe (single recipe) and search_foods (food database search) without needing to inspect schemas.

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 makes the intended use clear: retrieving saved recipes with optional filters. It does not explicitly name alternatives or exclusions, but the context of siblings and the 'saved recipes' phrasing provides enough guidance for an agent to select it over single-recipe or food-search 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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