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tmlksu

notebook-edit

by tmlksu

read_cell

Read the full source and outputs of a Jupyter notebook cell by path and index.

Instructions

Read one cell's full source (and outputs/execution_count for code cells).

Outputs are read-only: no tool writes them, and editing a code cell's source clears its stale outputs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
indexYes
Behavior4/5

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

With no annotations, the description carries full burden. It discloses that outputs are read-only and that editing a code cell's source clears its stale outputs, providing important behavioral context beyond the core read operation.

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 clear sentences: first states purpose with key details, second adds behavioral nuance. Front-loaded, no wasted words.

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?

The description explains return values (source + outputs/execution_count for code cells) and notes output behavior, but fails to document the two required parameters (path and index). With no output schema and 0% schema coverage, this is a significant gap.

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

Parameters1/5

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

Schema description coverage is 0% and the description does not explain the parameters (path, index). It adds no meaning beyond what the schema titles provide, leaving the agent without critical usage details.

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 'Read' and the resource 'one cell's full source', and distinguishes from siblings (delete, edit, etc.) by focusing on reading versus modifying.

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 for reading cell source but does not explicitly state when to use it over alternatives like list_cells or when not to use it. No exclusions or alternatives are named.

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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