kaggle_preview_publish_dataset

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

Discloses that data will become world-visible, which is a key behavioral outcome beyond annotations. Aligns with readOnlyHint=true and destructiveHint=false by stating no side effects, but does not explain the token mechanism.

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. Front-loaded with the primary action and key behavioral fact. Every sentence adds value.

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?

The tool is simple with one parameter and an output schema, so the description covers the core purpose and a critical outcome. However, the lack of parameter documentation leaves a gap in completeness.

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 single required parameter 'folder' is completely undocumented in the description. With 0% schema description coverage, the description must compensate but fails to add any meaning.

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?

The description states a specific action: issuing a confirm_token to publish a dataset publicly. It clearly distinguishes from sibling tools like create, version, delete, and preview_delete by focusing on the publish preview.

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. Does not mention prerequisites, context (e.g., use before actual publish), or exclusions among sibling tools.

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