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jupyter-kernel-mcp

by qtalen

read_cell

Retrieve the content and outputs of a Jupyter notebook cell by specifying its index. Useful for inspecting specific cells in a notebook.

Instructions

Read a single cell by index with its outputs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cell_indexNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Without annotations, description carries full burden. It indicates a read operation with no side effects, but does not explicitly state read-only behavior, error conditions, or return limitations.

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?

Single sentence front-loads purpose with no wasted words. Maximally concise while being informative.

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 simple tool (1 param, output schema exists), description covers essence. Could mention error handling or example usage, but not required for basic completeness.

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 coverage is 0%, so description must add meaning. It explains 'cell_index' as 'by index', adding context beyond type/default, but does not specify indexing (0-based, integer range) or behavior for invalid indices.

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 uses specific verb 'Read' and resource 'cell' with qualifiers 'by index' and 'with its outputs', clearly distinguishing it from siblings like delete_cell, edit_cell_source, and execute_cell.

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?

Description implies use when needing to read a cell's code and outputs, but provides no explicit guidance on when to use versus alternatives like read_notebook or execute_cell.

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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