kaggle_eda_competition

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

Description adds behavioral detail beyond annotations: download action, auto-inference of target, and error 403 if rules not accepted. No contradiction with annotations.

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

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

Two sentences with no filler: first explains core functionality and outputs, second states critical precondition. Information is front-loaded and efficient.

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

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

Given the presence of an output schema, description adequately covers purpose, outputs, and a precondition. Could elaborate on parameter effects but sufficient for agent to understand tool scope.

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

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

Schema coverage is 0%, and description does not explicitly describe individual parameters. It implies use of 'competition' and 'max_files', and mentions 'target' auto-inference, but lacks full parameter details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it downloads competition data and returns an EDA digest with train-test diff, specifying 'pre-first-submission view' and differentiating from other Kaggle MCP tools by mentioning the unique orientation.

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

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

Describes the context for use (before first submission) and a precondition (rules accepted), but does not explicitly exclude alternative tools or provide when-not-to-use scenarios.

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