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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 carries a "url" you can fetch directly to download the data (CSV/JSON/etc.) — this portal has no datastore, so there is no row-level query API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesDataset id (UUID) or slug, e.g. "c9f94b63-f2c0-4e4c-99b1-6d431cde9521".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "id": "c9f94b63-f2c0-4e4c-99b1-6d431cde9521"
      +  }
      +]
  2. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already declare readOnly, idempotent, non-destructive. Description adds explicit constraints: no datastore, no row-level API, and that resources have directly fetchable URLs. No contradiction.

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, front-loaded with purpose, followed by essential behavioral notes. No redundant information.

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?

For a single-parameter read tool with no output schema, description covers all needed: what it returns (full record with resources) and how to use the data (fetch URLs). Annotations cover safety. Complete.

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 already covers parameter fully (UUID or slug). Description only restates 'by id or slug', adding no new semantics beyond schema.

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?

Description clearly states 'Full dataset record by id or slug' and mentions resources and download URL. Distinguishes from search_datasets and organization_details.

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?

Explains when to use (by id or slug, need full record) and notes lack of row-level API, implying when not to use. Does not explicitly name alternatives but context suffices.

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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