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Random Cocktail Recipe

recipes.cocktail.random
Read-onlyIdempotent

Get a random cocktail recipe with name, category, glass, instructions, ingredients, measures, and image. Use for discovery and personalized drink recommendations.

Instructions

Get a random cocktail recipe with full details — name, category, glass, instructions, ingredients, measures, image. Great for discovery and recommendations (TheCocktailDB)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoAlways returns 1 random cocktail with full recipe

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. Description adds specific output fields, providing valuable context beyond annotations without contradiction.

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?

Single concise sentence followed by a brief note. No unnecessary words, every sentence adds value.

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 tool's simplicity and the existence of an output schema, the description adequately covers the purpose, input, and output. Could mention error handling but not critical for a random recipe tool.

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 covers 100% of the single parameter with 'Always returns 1 random cocktail with full recipe'. Description adds listing of fields but does not significantly augment 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?

Clearly states it gets a random cocktail recipe with full details, listing the fields. Differentiates from sibling 'recipes.cocktail.search' by emphasizing randomness and discovery.

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?

Explicitly says 'Great for discovery and recommendations', indicating when to use. Does not explicitly mention alternatives like 'recipes.cocktail.search' for specific queries, but the context is clear.

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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