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Dataset Details

dataset_details
Read-onlyIdempotent

Full dataset record by id or slug (CKAN package_show), including its resources. Each resource has a download "url" and "format" (CSV/JSON/etc.) — the portal is metadata-only, so fetch those URLs to get the actual data.

Input Schema

NameRequiredDescriptionDefault
idYesDataset id or slug, e.g. "leerlingen-speciaal-onderwijs-per-samenwerkingsverband-primair-onderwijs".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "id": "leerlingen-speciaal-onderwijs-per-samenwerkingsverband-primair-onderwijs"
      +  }
      +]
  2. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already indicate read-only, idempotent, non-destructive behavior. The description adds context about the tool returning resources with download URLs and that the portal is metadata-only, which helps the agent understand data retrieval steps.

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 two sentences, front-loaded with the core function, and adds essential detail without redundancy. Every sentence is valuable and concise.

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

Completeness5/5

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

Given the tool's simplicity (single parameter, no output schema, rich annotations), the description fully explains what the tool does, what it returns, and how to use the output. No gaps remain.

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 description coverage is 100% with a clear description of the 'id' parameter. The description does not add significant new information beyond mentioning that the ID can be a slug, which is already in the schema example. 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 the tool returns a full dataset record by id or slug, including resources. It distinguishes from sibling tools like search_datasets (which lists datasets) and entity_profile (which may have different scope). The mention of metadata-only portal adds specificity.

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 implies usage for retrieving a specific dataset by id or slug, but does not explicitly state when to use this tool versus alternatives like search_datasets. No exclusions or alternative recommendations are provided.

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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