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Glama

Get one SOMA beer

get_beer

Detailed spec for a single beer by slug: lager, ipa, belgian-wit, or stout.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesBeer slug: lager, ipa, belgian-wit, or stout

TDQS

A3.5/5.0
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 mentions 'detailed spec' but does not disclose behavioral traits such as read-only nature, idempotency, or response structure.

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 sentence that is efficient and front-loaded with key information. No superfluous content.

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

Completeness3/5

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

The description is adequate for a simple tool with one enum parameter. However, it lacks information about the return values (no output schema), which would be helpful for a 'detailed spec'.

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 is 100%, and the description merely lists example slugs without additional semantic detail. Baseline of 3 is appropriate as the schema already defines the parameter.

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?

The description clearly states the tool retrieves a detailed spec for a single beer by slug. The verb 'get' and resource 'beer' are specific, and the sibling tool 'list_beers' implies this is for individual items.

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

Usage Guidelines3/5

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

The description implies usage when a single beer's details are needed, but no explicit guidance on when not to use it or alternatives like 'list_beers' for multiple beers.

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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Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose covering different aspects: beers, brand, process, pricing, nutrition, recipes, subscriptions, wallet, wholesale, buy link, and waitlist. No two tools overlap significantly.

Naming Consistency4/5

Most tools use the 'get_' prefix for information retrieval, with 'list_beers' and 'join_waitlist' as slight deviations. However, the pattern is consistent (verb_noun with underscores) and clear.

Tool Count5/5

13 tools is well-scoped for a brewery server, covering all essential aspects without being overwhelming. Each tool serves a specific need, and none feel superfluous.

Completeness5/5

The tool set covers the full lifecycle: brand info, product details, pricing, ordering, subscriptions, waitlist, wallet, and even recipes and nutrition. No obvious gaps for the stated domain.

Resources