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Prepare a personalized meal request

prepare_create_meal_request

Stage a natural-language meal request to generate a nutrition-validated recipe and grocery list, preview it, then save after approval.

Instructions

Stage a natural-language meal request that generates and saves a nutrition-validated recipe and grocery list.

Input Schema

NameRequiredDescriptionDefault
messageYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already disclose that this is a non-read-only, non-idempotent, closed-world, non-destructive operation. The description adds that it stages a natural-language request and generates/saves a recipe and grocery list, but it does not clarify what 'stage' entails, side effects, or later retrieval behavior.

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 clause contributes to the tool's purpose without redundancy.

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?

For a one-parameter tool with no output schema and annotations covering the safety profile, the description states the action and saved outputs. It is nearly complete, though it could briefly clarify the staged request lifecycle or when to use it over sibling tools.

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 coverage for the single 'message' parameter is 0%, so the schema provides no semantic description. The description compensates somewhat by saying the input is a natural-language meal request, but it adds no format, content, or example detail beyond that.

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

Purpose4/5

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

The description states a specific verb ('Stage') and resource ('natural-language meal request') and names the generated artifacts (recipe and grocery list). It is clear what the tool does, but it does not explicitly differentiate itself from siblings such as prepare_create_meal_plan or prepare_create_grocery_list.

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 guidance, no prerequisites, and no named alternatives. The description only implies that this tool is for staging a meal request, leaving the agent to infer whether to use it versus sibling creation 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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