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import_notebook

Import cells from a local .ipynb file into the current Colab notebook, with optional insertion index and ability to replace existing cells.

Instructions

Imports cells from a local .ipynb file into the current Colab notebook.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesLocal path to the .ipynb file on the machine running Codex/MCP.
cellIndexNoOptional insertion index. Defaults to the end of the current notebook.
replaceExistingNoIf true, delete current notebook cells before importing.
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It only mentions 'imports cells', which implies mutation, but does not disclose whether the import is additive or destructive (though the replaceExisting parameter hints at deletion). It fails to explain other behavioral traits such as error handling or cell index behavior.

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, concise sentence that directly states the purpose with no wasted words. It is front-loaded and efficient.

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?

For a mutation tool with three parameters and no output schema or annotations, the description is too sparse. It does not explain what happens with the import (e.g., cell ordering, error handling, effect on existing cells without replaceExisting). The agent may need additional guidance to use the tool correctly.

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?

All parameters have descriptions in the input schema (100% coverage). The description does not add extra meaning beyond what the schema provides. Baseline 3 is appropriate.

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 action (imports cells), the source (local .ipynb file), and the destination (current Colab notebook). It distinguishes from siblings like upload_notebook or download_notebook.

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

Usage Guidelines3/5

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

The description implies usage when you have a local .ipynb file to add cells to the current notebook, but it does not explicitly state when to use this tool over alternatives like upload_notebook or add_code_cell. No exclusions or prerequisites are mentioned.

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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