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dataset_create

Create a Kaggle dataset by providing file tokens from file_upload. Set owner, slug, title, license, and privacy.

Instructions

Create a new dataset. Use file_upload first to get file tokens.

    Args:
        owner: Owner username.
        slug: Dataset slug.
        title: Dataset title.
        file_tokens: Comma-separated file tokens from file_upload.
        license_name: License (e.g. CC0-1.0, CC-BY-SA-4.0).
        is_private: Whether dataset is private.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerYes
slugYes
titleYes
file_tokensNo
license_nameNoCC0-1.0
is_privateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries burden. It mentions prerequisite file_upload but doesn't disclose side effects, success/failure behavior, or rate limits. Adequate but not thorough.

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

Conciseness4/5

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

Purpose is front-loaded. Args list is structured but slightly verbose. Could be more concise, but overall clear and organized.

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?

Covers main behavior and all parameters. Does not describe return values or errors, but output schema may cover that. With 6 parameters and no nested objects, description is fairly complete.

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

Parameters5/5

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

Schema coverage is 0%, but description explains each parameter: owner, slug, title, file_tokens (comma-separated from file_upload), license_name (with examples), is_private (boolean). Adds significant meaning 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?

The description states 'Create a new dataset' clearly, specifying the action and resource. It also differentiates from sibling tools like dataset_create_version by mentioning file_upload and file tokens.

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?

Explicitly says 'Use file_upload first to get file tokens,' guiding when to use this tool. No explicit exclusions for alternatives, but sibling list implies distinction.

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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