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recipe_crud_suggest_recipes

List recipe suggestions from Mealie based on available foods, tools, and filters. Retrieve read-only suggestions to decide what to cook.

Instructions

Suggest Recipes — Recipe: CRUD. List suggestions. [GET /api/recipes/suggestions] Keywords: recipe_crud_suggest_recipes, recipe crud suggest recipes, list suggestion, list suggestions, get suggestion, get suggestions, search suggestion, search suggestions, find suggestion, find suggestions, browse suggestion, browse suggestions, fetch suggestion, fetch suggestions, read suggestion, read suggestions, suggestion, suggestions, recipe crud, recipes, list, get, search, find, browse, fetch, read, read-only, mealie.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
foodsNo
limitNo
toolsNo
orderByNo
queryFilterNo
orderDirectionNodesc
paginationSeedNo
maxMissingFoodsNo
maxMissingToolsNo
includeFoodsOnHandNo
includeToolsOnHandNo
orderByNullPositionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.11

TDQS

C2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses only the HTTP verb/path (GET) and the word 'read-only', which is minimal behavioral context; it says nothing about authentication requirements, pagination behavior, default result limits, or whether results are ranked/scored.

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

Conciseness2/5

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

The first sentence is front-loaded and usable, but roughly 90% of the text is a keyword dump ('list suggestion, list suggestions, get suggestion, ... browse, fetch, read') that adds no information and buries the one useful detail (the route) mid-string.

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

Completeness1/5

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

With 12 undocumented parameters, no annotations, and no output schema, the description would need to compensate substantially. Instead it supplies essentially nothing beyond the operation name and URL, leaving the agent unable to invoke the tool correctly.

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

Parameters1/5

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

Schema description coverage is 0% and there are 12 parameters, several with non-obvious semantics (maxMissingFoods, paginationSeed, includeFoodsOnHand, orderByNullPosition). The description explains none of them, leaving the agent to guess at filtering, ranking, and pagination behavior.

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

Purpose3/5

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

The opening line states a recognizable verb+resource ('Suggest Recipes ... List suggestions') and the underlying route [GET /api/recipes/suggestions], so an agent knows roughly what it does. However, it never differentiates itself from the near-identical sibling explore_recipes_suggest_recipes, and the rest of the text devolves into keyword padding rather than clarifying scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative-tool guidance. The only implicit signal is the 'read-only' keyword, which restates the obvious for a list endpoint and does not help an agent choose between this tool and the other suggestion-listing sibling.

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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