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dutch-gov-mcp

dutch-gov-mcp

by Alishark14
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

get_dataset

Retrieve detailed metadata for Dutch government datasets to understand their structure, content, and accessibility for data analysis and integration.

Instructions

Get detailed metadata for a specific dataset.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "dataset_id": "<dataset_id>"
    },
    "name": "get_dataset"
  }
}

Input Schema

NameRequiredDescriptionDefault
dataset_idYesDataset ID or slug/name.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

B3.2/5.0
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 burden of behavioral disclosure. It states the tool retrieves metadata but doesn't specify aspects like authentication requirements, rate limits, error handling, or the format of the returned metadata. This leaves significant gaps for an agent to understand how to interact with it effectively.

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, efficient sentence that directly states the tool's function without unnecessary words. It's front-loaded with the core purpose, making it easy to parse and understand quickly.

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 the tool's low complexity (one parameter, no nested objects) and the presence of an output schema (which handles return values), the description is reasonably complete for its purpose. However, it lacks behavioral details that would be helpful in the absence of annotations, such as how 'detailed metadata' is structured or any usage caveats.

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% description coverage, with the single parameter 'dataset_id' documented as 'Dataset ID or slug/name.' The description adds no additional meaning beyond this, such as examples or constraints, so it meets the baseline score of 3 where the schema does the heavy lifting.

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?

The description clearly states the verb ('Get') and resource ('detailed metadata for a specific dataset'), making the purpose understandable. However, it doesn't distinguish this tool from similar siblings like 'get_cbs_dataset' or 'search_datasets', which likely retrieve dataset information with different scopes or filters.

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 provides no guidance on when to use this tool versus alternatives. With siblings like 'get_cbs_dataset' (likely for CBS-specific datasets) and 'search_datasets' (likely for broader searches), there's no indication of context, prerequisites, or exclusions for this tool's usage.

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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