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BFH-JTF

LINDAS MCP Server

by BFH-JTF

get_dimension_values

Retrieve distinct values with labels for a cube dimension to filter data, such as cantons, years, or categories.

Instructions

Get the distinct values for a dimension of a cube, with human-readable labels. Use this after get_cube_structure to discover what values you can filter on (e.g., which cantons, which years, which categories). Pass the 'path' value from get_cube_structure as dimension_path.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
cube_uriYes
languageNode
dimension_pathYesThe property path URI of the dimension (from get_cube_structure 'path' field)
Behavior3/5

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

No annotations provided. Description indicates read-only behavior (getting values) and mentions human-readable labels, but lacks details on response format, pagination, or error conditions. Adequate but not thorough.

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 sentences, concise and front-loaded with purpose. Every sentence adds value without redundancy.

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

Completeness4/5

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

Given no output schema and limited annotations, description effectively covers purpose, usage, and relationship to sibling. Lacks return value details but sufficient for core task.

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?

Schema coverage at 25% (only dimension_path described). Description adds context for dimension_path (use path from get_cube_structure) but doesn't elaborate on cube_uri, limit, or language. Compensates partially for low coverage.

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?

Clear verb 'get distinct values' with specific resource 'dimension of a cube' and hints about human-readable labels. Includes examples and links to sibling tool get_cube_structure, distinguishing it from other tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states use case: 'after get_cube_structure to discover what values you can filter on.' Instructs to pass the 'path' value. No explicit when-not-to-use, but context is clear.

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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