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talvola

bar-assistant-mcp

by talvola

bar_get_shopping_list

Fetch a user's shopping list to review items needed for cocktails. Retrieve the current list directly by user ID for planning ingredient purchases.

Instructions

Get the user's shopping list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
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, and it discloses almost nothing: no statement of read-only safety, no ordering, pagination, or per-user scoping behavior. The verb "get" weakly implies a non-mutating call, but that inference is doing all the work.

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?

A single short sentence with zero filler, and the operative verb is front-loaded. It is efficient, though its brevity is partly the source of the missing detail rather than a deliberate tightening.

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?

For a simple one-parameter read tool with an output schema (so return values need no explanation), the description is close to sufficient. It still omits the scoping semantics of user_id and the relationship to bar_add_to_shopping_list, leaving the agent to guess at the surrounding workflow.

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% for the single user_id parameter, and the description only hints at user scoping via the phrase "the user's" — it never explains the parameter, its default of 1, or what happens if it is omitted. This falls short of compensating for the undocumented schema.

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?

"Get the user's shopping list" names a specific verb (get) and resource (shopping list), so the operation is unambiguous. It does not, however, distinguish itself from the sibling bar_add_to_shopping_list or clarify whether it returns full items, quantities, or a summary — differentiation is left to the reader.

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 guidance is given beyond the implicit read semantics. The description never mentions the related sibling bar_add_to_shopping_list (the natural counterpart), nor any conditions such as empty-list handling or when to prefer other list-style tools in the family.

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