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Alishark14

dutch-gov-mcp

by Alishark14

list_resources

Discover and access files and resources within Dutch government datasets from data.overheid.nl, CBS statistics, and KVK business registry to explore open data without authentication.

Instructions

List all files and resources in a dataset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataset_idYesDataset ID or slug/name.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 action ('List all files and resources') but does not describe traits like pagination, rate limits, permissions needed, or what 'all' entails (e.g., recursive listing). This leaves significant gaps for a tool that likely returns multiple items.

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 purpose without unnecessary words. It is appropriately sized and front-loaded, making it easy to understand at a glance.

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 tool has an output schema (which likely describes the return structure), the description does not need to explain return values. However, with no annotations and multiple sibling tools, the description is minimal and lacks context about usage and behavior, making it only adequate for a basic listing operation.

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 parameter 'dataset_id' clearly documented. The description does not add any meaning beyond the schema, such as examples of dataset IDs or how slugs/names are resolved. Baseline 3 is appropriate as the schema handles the parameter documentation adequately.

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 'List' and the resource 'files and resources in a dataset', making the purpose understandable. However, it does not distinguish this tool from siblings like 'get_dataset' or 'get_resource', which might retrieve specific items rather than list contents, so it lacks sibling differentiation.

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_dataset' (which might retrieve metadata) and 'get_resource' (which might fetch a single resource), there is no indication of context, prerequisites, or exclusions for using 'list_resources'.

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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