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recipes_search

Read-onlyIdempotent

Search and filter recipes with advanced options. Handles keyword, ingredient, cuisine, meal type, and dietary filters in ONE call. TRIGGERS:

  • SEARCH: 'find recipes with X', 'search for X', 'recipes with X'

  • INGREDIENT: 'what can I make with X', 'recipes using X'

  • DIETARY: 'find vegan X', 'gluten-free recipes', 'keto meals'

  • MEAL TYPE: 'breakfast ideas', 'dinner recipes', 'lunch options'

  • QUICK: 'easy recipes', 'quick meals', '30 minute recipes'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return (1-50, default 10)
queryYesSearch query — keyword, ingredient, dish name, cuisine, or dietary preference (e.g. 'chicken pho', 'vegan tacos', 'gluten-free dessert', '30 minute dinner')
mealTypeNoFilter by meal type: breakfast, lunch, dinner, snack, dessert, appetizer, side, or drink

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description does not contradict these and adds some useful context (e.g., handling multiple filter types in one call), but it does not disclose additional behavioral traits like pagination, result ordering, or response format.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description opens with a clear one-line summary and then uses a structured TRIGGERS list. It is somewhat redundant with the opening sentence, but the trigger examples add practical value. Overall it is appropriately sized and front-loaded.

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 rich schema, strong annotations, and relatively simple search operation, the description covers the main dimensions (what, when, how to phrase queries). It lacks an explicit note about return format, but this is not essential for a search tool and the trigger coverage is comprehensive.

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?

Schema description coverage is 100% and the parameter descriptions are already rich—query includes examples like 'chicken pho' and 'vegan tacos', limit has min/max/default, mealType lists valid values. The description's trigger phrases add conversational mapping but do not significantly enhance schema semantics.

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 identifies a specific verb+resource ('Search and filter recipes') and lists the multiple filter dimensions (keyword, ingredient, cuisine, meal type, dietary). It also differentiates from sibling tools by highlighting 'in ONE call', which distinguishes it from specialized endpoints like recipes_find_by_ingredient or recipes_get_dietary.

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 TRIGGERS section provides explicit user-phrase examples for when to invoke this tool, such as 'find recipes with X' and 'what can I make with X'. However, it does not name alternative tools or state when NOT to use it, so it misses the explicit exclusion/alternative guidance required for a 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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