kaggle_preview_delete_model

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

Description adds that the deletion (if later executed) is irreversible, but also states 'no side effects', aligning with readOnlyHint=true and destructiveHint=false. However, it does not disclose the token's role or persistence. The description is clear but lacks depth on behavioral implications.

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 concise sentences that front-load the core action and outcome. No extraneous information.

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?

With a single required parameter and output schema present, the description explains the basic purpose but does not elaborate on the confirm_token usage or parameter semantics. Adequate but leaves gaps for a new user.

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?

The only parameter 'model' is not described in the description. Schema coverage is 0%, so description must compensate but fails to provide any details about what value to pass or its format.

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 the tool issues a confirm_token for an irreversible model delete with no side effects. It distinguishes the tool from sibling kaggle_delete_model by indicating this is a preview/confirmation step.

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?

No guidance on when to use this tool versus alternatives like kaggle_delete_model. The description does not explain the workflow (e.g., use this to get a token before performing a delete) or when not to use it.

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