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kernel_session_cancel

Cancel a running Kaggle kernel session by specifying the owner's username and kernel slug.

Instructions

Cancel a running kernel session.

    Args:
        user_name: Kernel owner username.
        kernel_slug: Kernel slug name.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_nameYes
kernel_slugYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, and the description does not disclose side effects, idempotency, or authorization requirements. For a destructive operation, more transparency is expected.

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

Conciseness3/5

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

The description is very short and to the point, but lacks important context. It is not verbose, but the brevity sacrifices completeness.

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

Completeness2/5

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

Given the existence of sibling tools like kernel_session_status and kernel_session_create, the description should provide more context about cancellation behavior, such as whether it is reversible or what happens if the session is already stopped. The output schema exists but is not referenced to explain return values.

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

Parameters1/5

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

Schema description coverage is 0%, and the description only repeats the parameter names without adding constraints, formats, or examples. The schema provides titles but no additional semantics, so the description fails to compensate.

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 the tool cancels a running kernel session. The verb 'Cancel' and the resource 'running kernel session' are specific, and it distinguishes from sibling tools like kernel_session_create or kernel_session_status.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. For example, there is no mention of prerequisites (e.g., session must be running) or comparison with kernel_session_create or kernel_session_status.

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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