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AiAgentKarl

Museum MCP Server

by AiAgentKarl

tool_get_museum_highlights

Retrieve curated museum highlights for a specified museum, such as the Metropolitan Museum of Art or the Art Institute of Chicago, to quickly access key artworks without needing an API key.

Instructions

Kuratierte Highlights aus einem Museum abrufen.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoAnzahl der Highlights (max 20)
museumNo'met' (Metropolitan) oder 'chicago' (Art Institute of Chicago)met

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 of behavioral disclosure. The verb 'abrufen' implies a read-only operation, but the description does not explain how highlights are selected, whether pagination is involved, or any other behavioral details beyond the basic action.

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?

The description is a single, concise sentence with no filler or redundant information. It is front-loaded with the purpose and is appropriately sized for a simple retrieval tool.

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?

Given the schema's full parameter documentation and the presence of an output schema, the description is minimally sufficient. However, it lacks any usage guidance or additional context about the curation logic, making it complete only at a basic level.

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?

The input schema has 100% parameter description coverage, clearly documenting both 'limit' and 'museum' with defaults and allowed values. The description adds no additional semantic detail beyond what the schema already provides, so the baseline score of 3 is appropriate.

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 a specific verb, 'abrufen' (retrieve), and a distinct resource, 'Kuratierte Highlights aus einem Museum' (curated highlights from a museum). This distinguishes it from sibling tools that focus on departments, artwork searches, or artist searches.

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?

The description gives no guidance on when to use this tool versus alternatives, no exclusions, and no prerequisites. It simply states the action, leaving the agent to infer usage from the tool name and context.

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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