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talvola

bar-assistant-mcp

by talvola

bar_upload_image

Upload an image from a URL and get its image ID for use when creating cocktails or ingredients.

Instructions

Upload an image from a URL. Returns the image ID to use when creating cocktails or ingredients.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
copyrightNo
image_urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
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. It does not disclose whether the tool fetches an external URL, any size/format limits, permission requirements, or whether copyright is mandatory, which matters for a write operation that reaches out to a remote resource.

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?

Two tight sentences with the core action front-loaded and the return value immediately following. No filler or redundancy.

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?

An output schema exists, so explaining return values is not strictly needed (though the ID hint is a nice touch). The gaps are the undocumented copyright parameter and the absence of any behavioral context for a network-fetching write tool.

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 only hints at image_url ('from a URL'). The second parameter, copyright, is never mentioned, so half the parameters are undocumented in both the schema and the description.

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 specific verb and resource ('Upload an image from a URL') and adds the downstream purpose (obtain an image ID for cocktails/ingredients). It implicitly separates itself from the sibling bar_upload_image_file, but never names that sibling to make the URL-vs-file distinction explicit.

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 conveys when the result is useful ('use when creating cocktails or ingredients'), which implies the workflow context. However, it gives no exclusions or explicit routing to bar_upload_image_file for local files, so the agent must infer the alternative.

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