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kaggle_competition_kickoff

Kick off a Kaggle competition by fetching rules and deadlines, downloading data, running EDA with target auto-detection, and returning a baseline plan plus remaining submission budget.

Instructions

One-call competition kickoff: fetch the metric/deadline/rules, download the data if rules are accepted (otherwise tell you to accept first), run a train/test EDA with target auto-detection, and return a baseline plan plus your remaining submission budget. Collapses the manual setup ritual into a single decision-ready bundle — no other Kaggle MCP does this.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
competitionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations (readOnlyHint: false, destructiveHint: false, openWorldHint: true) are consistent; description adds context about data download and EDA automation. It explains what the bundle does beyond annotations without contradiction, though it doesn't detail side effects like API costs.

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?

Description is a single long sentence that front-loads the main purpose. It could be slightly more structured (e.g., bullet points) for clarity, but it is concise and avoids redundancy.

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?

Given the tool's complexity (multiple steps), the description covers the main actions and output (baseline plan, budget). Output schema exists but is not seen; description gives enough context. Lacks details on error handling or prerequisites beyond rule acceptance.

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?

Input schema has only one required 'competition' parameter with 0% description coverage. The description implicitly uses the parameter but does not add meaning beyond the name (e.g., format, validation). Baseline for low coverage expects compensation, but description is minimal on parameter details.

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 uses specific actions ('fetch', 'download', 'run EDA', 'return plan') tied to the resource 'competition kickoff'. It clearly distinguishes from siblings by claiming 'no other Kaggle MCP does this', justifying its unique bundled approach.

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 states it is a 'one-call competition kickoff' for initial setup, implying use over separate tools like kaggle_download_competition_files or kaggle_eda_competition. However, it lacks explicit when-not-to-use or exclusions (e.g., if parts are needed separately).

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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