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restart_notebook

Destructive

Restart the Jupyter notebook kernel to clear memory and resolve execution issues for a specific notebook.

Instructions

Restart the kernel for a specific notebook.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebook_nameYesNotebook identifier to restart

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesSuccess message
Behavior4/5

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

Annotations indicate destructiveHint=true, which the description aligns with by implying a disruptive action ('restart'). The description adds context beyond annotations by specifying the target ('kernel for a specific notebook'), though it lacks details on effects like data loss or execution interruption. No contradiction exists.

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

Conciseness5/5

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

The description is a single, clear sentence with no wasted words. It is front-loaded with the core action and resource, making it highly efficient and easy to understand at a glance.

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 moderate complexity (destructive action with one parameter), annotations cover safety, schema covers inputs, and an output schema exists. The description provides purpose but lacks usage context and behavioral details like side effects, making it slightly incomplete for optimal agent guidance.

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?

Schema description coverage is 100%, with the parameter 'notebook_name' fully documented in the schema. The description does not add meaning beyond the schema, such as format examples or constraints, but meets the baseline since the schema handles parameter documentation adequately.

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 specific action ('restart') and target resource ('kernel for a specific notebook'), distinguishing it from siblings like 'list_notebooks' or 'execute_cell'. It precisely communicates the tool's function without redundancy.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., notebook must be in use), exclusions, or related tools like 'list_notebooks' for identification or 'use_notebook' for activation, leaving usage context unclear.

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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