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talvola

bar-assistant-mcp

by talvola

bar_add_to_shelf

Add selected ingredients to a user's shelf using ingredient IDs, keeping available inventory current for cocktail searches and shopping lists.

Instructions

Add ingredients to the shelf.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idNo
ingredient_idsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.6/5.0
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 behavioral burden, and it discloses nothing beyond the operation verb. It does not say whether adds are idempotent, how duplicate ingredient_ids are handled, whether the shelf is appended or replaced, or what permissions are required.

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

Conciseness3/5

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

It is a single short sentence with no wasted words and the action is front-loaded. However, the extreme brevity reflects under-specification rather than effective conciseness.

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?

With an output schema present, return values need not be explained, but the combination of zero annotations and 0% parameter coverage leaves the description inadequate for a mutation tool. An agent lacks the mutation semantics and argument details needed to invoke it correctly.

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 description explains neither parameter. The meaning of 'ingredient_ids' is partly inferable from its name, but the defaulted user_id and the expected format/behavior of the id array are left entirely unexplained.

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 states a specific verb ('Add') and resource ('ingredients to the shelf'), so the core operation is unambiguous. It does not differentiate from similar siblings such as bar_add_to_shopping_list or bar_remove_from_shelf, but the object ('shelf') does most of that work.

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 guidance about when to use this tool versus bar_add_to_shopping_list, bar_remove_from_shelf, or bar_get_shelf, nor any prerequisites noted. The agent must infer usage entirely from the name.

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