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file_upload

Upload a file to Kaggle to obtain a token for dataset creation. Provide file name and text content.

Instructions

Upload a file to Kaggle and get a token for dataset_create.

    Args:
        file_name: File name (e.g. 'data.csv', 'config.json').
        content: File content as text.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_nameYes
contentYes

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, and the description only mentions 'Upload' without detailing side effects, authentication requirements, rate limits, or other behavioral traits. It does not sufficiently compensate for the lack of annotations.

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 short and front-loaded, with two sentences and an Args section. No extraneous information is present.

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?

The tool has a simple interface with two parameters and an output schema, but the description omits details like file size limits, supported file types, and the format of the returned token, which are necessary for full completeness.

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

Parameters4/5

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

Schema description coverage is 0%, but the description adds meaning by providing examples for file_name ('data.csv', 'config.json') and clarifying that content is 'File content as text', which goes beyond the schema's type specifications.

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 clearly states 'Upload a file to Kaggle and get a token for dataset_create', specifying the verb, resource, and purpose. It distinguishes this tool from siblings, which include various dataset operations but no direct file upload.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage as a preliminary step for dataset_create, but it does not explicitly state when to use it versus alternatives, nor does it provide conditions or exclusions.

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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