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talvola

bar-assistant-mcp

by talvola

bar_get_collection

Retrieve a specific cocktail collection and its cocktails by ID to view or manage collection contents.

Instructions

Get a specific cocktail collection with its cocktails.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It implies a read operation ('Get'), which is reasonable, but discloses nothing about permissions, error behavior for invalid ids, or pagination/size limits on the embedded cocktails. For a read tool with zero annotations and no output schema description in the text, this is thin.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single concise sentence, front-loaded with the verb and resource. No waste, though it is arguably under-specified rather than maximally informative.

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

Completeness2/5

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

Although an output schema exists (reducing the need to explain return values), the description is minimal for a tool in a dense sibling set with an ambiguous, undocumented id parameter and no usage guidance. It does not provide enough context to reliably distinguish it from bar_list_collections or explain what ids are valid.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single parameter 'id' is undocumented in both schema and description. The description doesn't clarify whether the id is a collection identifier vs. a cocktail id, which matters for sibling disambiguation. Parameter meaning is left implicit.

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 verb ('Get') and resource ('specific cocktail collection') and notes it includes its cocktails. This distinguishes it from bar_list_collections (plural) and from bar_get_cocktail, though it doesn't explicitly name those siblings.

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?

No when-to-use or when-not-to-use guidance. Given many sibling tools like bar_list_collections and bar_get_cocktail, the description leaves the agent to infer that this is for fetching a single collection by id, with no exclusions or alternatives stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.