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kaggle_preview_submission

Read-only

Validates a Kaggle submission file and reports budget impact, returning a confirmation token needed for final submission without side effects.

Instructions

Dry-run a submission: validate the file exists/size, report the budget impact, and return a single-use confirm_token required by kaggle_submit_to_competition. No side effects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYes
file_pathYes
competitionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false, indicating no side effects. The description adds behavioral details such as validation and budget reporting, which are not in the 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?

Two sentences, front-loaded with the key action, and every sentence adds value. No wasted words.

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 description is fairly complete given the tool's simplicity and the presence of an output schema. However, it lacks explanation for the 'message' parameter, which may be confusing.

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

Parameters2/5

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

With 0% schema description coverage, the description must explain parameters. It only mentions file_path implicitly through validation, but does not explain competition or message parameters.

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 it is a dry-run submission, validates file existence/size, reports budget impact, and returns a confirm_token. It distinguishes itself from the sibling kaggle_submit_to_competition.

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?

The description implies that this tool should be used before kaggle_submit_to_competition to obtain the required confirm_token. It does not explicitly state when not to use, but the context is clear.

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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