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notebook_get

Read-only

Read a Jupyter notebook and retrieve its full structure including cell IDs, types, source, execution counts, and outputs.

Instructions

Read a notebook and return its full structure: all cells with their IDs, types, source, execution counts, and outputs.

Use the returned cell IDs with cell_update, cell_delete, cell_move, and cell_execute to modify or run specific cells.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description confirms read-only behavior. It adds what is returned (cell IDs, types, etc.), but does not mention any potential limitations or prerequisites. Still, it is consistent and adds useful detail.

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?

Two sentences, no wasted words. Front-loaded with the main action and immediately provides actionable information on how to use the output. Perfectly concise.

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

Completeness5/5

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

Given the tool's simplicity (one parameter, no output schema), the description covers purpose, return contents, and collaboration with siblings. No gaps remain for an agent to understand how to use this tool correctly.

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

Parameters2/5

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

Input schema has 0% description coverage for the only parameter 'name'. The description does not clarify what 'name' refers to (e.g., notebook name or path). While the parameter is simple, the description should compensate but fails to do so.

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?

Description clearly states 'Read a notebook and return its full structure', listing specific components (cell IDs, types, source, execution counts, outputs). This verb+resource combination distinguishes it from siblings like notebook_list or cell_add.

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

Usage Guidelines5/5

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

Explicitly states when to use (to read a notebook and get cell details) and instructs to use returned cell IDs with cell_update, cell_delete, cell_move, cell_execute for modifications. Provides clear context and alternatives.

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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