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Get an Explore recipe

get_explore_recipe
Read-onlyIdempotent

What's the full recipe for this Explore pick? Inputs: id (from browse_explore, required), servings (optional; quantities are scaled when it differs from the original). Example: {"id":"","servings":4}

Input Schema

NameRequiredDescriptionDefault
idYesThe recipe id from browse_explore.
servingsNoScale to this many servings.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare a safe, read-only, idempotent lookup, and the description adds useful behavioral detail: servings is optional and quantities are scaled when it differs from the original. It does not cover error behavior or return format, but with annotations present this is solid additional context.

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 purpose is front-loaded as a direct question, followed by compact input notes and a concrete example. Every element is useful and there is no filler.

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 simple two-parameter read-only lookup with annotations and full schema coverage, the description gives enough to invoke it correctly, including id provenance and servings scaling. Return-shape details are not required because there is no output schema, though error/not-found behavior is not addressed.

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?

Schema coverage is 100%, so the schema already documents both parameters. The description still adds value by explicitly marking id as required, noting servings as optional, and clarifying that scaling happens conditionally when servings differs from the original, plus giving an example call.

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?

States a clear retrieval action and resource: the full recipe for an Explore pick, using an id sourced from browse_explore. It is distinguishable from browse_explore as a follow-up lookup, though it does not explicitly discuss its other sibling.

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 usage context clear by saying the id comes from browse_explore and by presenting this as the way to get the full recipe for that pick. It does not spell out exclusions or when to prefer another tool, so it stops short of full when/when-not guidance.

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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