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get_dataset_metadata

Download the dataset-metadata.json file for a specified Kaggle dataset to access its configuration details and integrate them into your workflow.

Instructions

Download dataset-metadata.json

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refYes
output_dirNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.0.0

TDQS

C2.3/5.0
Behavior2/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It indicates a download operation but does not explain side effects, whether output_dir controls file writing, overwrite behavior, or authentication requirements. Only minimal behavioral information is conveyed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and contains no fluff, but it is under-specified rather than appropriately concise. A single phrase is not enough structure for a tool with undocumented parameters and no behavioral context.

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

Completeness1/5

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

With no annotations, no output schema, 0% schema description coverage, and no parameter guidance, the description is radically incomplete. An agent cannot reliably determine how to call this tool or what to expect from it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and both parameter descriptions are empty. The description does not explain what 'ref' means or how 'output_dir' is used, leaving the agent with no semantic grounding for the required parameters.

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 states a clear action ('Download') and a specific resource ('dataset-metadata.json'), so the agent knows what operation is being performed. It does not explicitly distinguish this from sibling tools like download_dataset or dataset_details, but the target file name provides enough specificity for a basic understanding.

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 gives no guidance on when to use this tool versus alternatives such as download_dataset or dataset_details. There is no statement of intended context, exclusions, or conditions that would route an agent to this tool over a sibling.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.