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punkapi_random_beer

Read-onlyIdempotent

Fetch a random craft beer recipe from BrewDog's Punk API to source brewing ideas or test beer data workflows.

Instructions

Get a random craft beer recipe from BrewDog's Punk API.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.11

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, destructiveHint=false, and no parameters, so the safety profile is fully covered by structured data. The description adds only the useful note that results come from an external third-party source (BrewDog's Punk API), but says nothing about result variability between calls, rate limits, or failure modes. Note that idempotentHint=true is questionable for a randomization endpoint, but that inconsistency lives in the annotations, not the description.

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?

A single front-loaded sentence with no filler. The verb, resource, and source all land in the first few words.

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 zero-parameter, read-only fetch with full annotation coverage and no output schema, this is nearly sufficient. A small gap remains: it does not hint at what a "recipe" contains (name, ABV, IBU, ingredients, food pairing), which would help the agent decide whether the result answers the user's question.

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?

The tool takes zero parameters, so the baseline is 4 and there is nothing for the description to disambiguate. The description correctly implies no input is needed to invoke it.

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 names a specific verb ("Get") and resource ("random craft beer recipe") plus the upstream source (BrewDog's Punk API), which is more precise than a bare name restatement. It does not explicitly distinguish itself from siblings like punkapi_search_beers, punkapi_get_beer, or untappd_get_beer, though the word "random" implies the key difference.

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 statement of when to use this versus punkapi_search_beers or punkapi_get_beer, and no prerequisites or exclusions. The only implicit guidance is that it is random and takes no parameters, which the agent must infer from the name.

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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