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jupyter-kernel-mcp

by qtalen

insert_cell

Insert a new code or markdown cell at a specified index in a Jupyter notebook. Provide the cell content and type to add cells programmatically.

Instructions

Insert a new code or markdown cell at the given index.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
indexNo
sourceYes
cell_typeNocode

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, so the description must convey behavioral traits. It mentions inserting a cell but does not disclose side effects (e.g., shifting subsequent indices), index behavior when default -1 is used, or error handling for invalid cell types. The presence of an output schema reduces the burden slightly, but the lack of any behavioral context is a significant gap.

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, front-loaded sentence with no wasted words. It conveys the core action efficiently.

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

Completeness3/5

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

Given the tool's simplicity and the presence of an output schema, the description is somewhat adequate but leaves gaps. It does not explain index handling, cell_type constraints, or return value. More detail would improve completeness, but it covers the essential action.

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?

Schema description coverage is 0%, so the description must compensate. It clarifies that cell_type can be 'code' or 'markdown', but does not elaborate on the index parameter (e.g., that -1 appends) or the source parameter. The added meaning is minimal beyond what the parameter names already imply.

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 verb 'Insert', the resource 'new code or markdown cell', and the context 'at the given index'. It distinguishes from sibling tools like delete_cell, edit_cell_source, and read_cell by specifying insertion of a new cell.

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, such as edit_cell_source for modifying existing cells or delete_cell for removal. No context for appropriate use cases is given.

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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