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edit_and_run_cell

Edit a cell's Python code in a marimo notebook, run it, and retrieve the outputs after completion.

Instructions

Edit a cell's code and run it. Waits for completion and returns outputs.

This does NOT require --mcp flag or agent mode.

Args: notebook: Path to the notebook file or port number. cell_id: The cell ID to edit (get IDs from get_cells first). code: New Python code for the cell.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebookYes
cell_idYes
codeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Without annotations, the description explains that the tool waits for completion and returns outputs. It does not disclose potential side effects of running code or error handling, which would enhance transparency.

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 brief and front-loaded with the main action. Every sentence serves a purpose, with no unnecessary words.

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?

The output schema covers return values. The description covers core functionality and prerequisites, but could address error cases and side effects more thoroughly for a tool that executes code.

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

Parameters5/5

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

All three parameters are described succinctly in the description, adding meaningful context beyond the empty input schema. The descriptions note the type and purpose of each parameter.

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 tool edits a cell's code and runs it, specifying the verb and resource. It distinguishes from siblings like add_cell, delete_cell, and get_cells.

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

Usage Guidelines4/5

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

The description mentions that the --mcp flag or agent mode is not required and advises to get cell IDs from get_cells first, providing context. However, it does not explicitly state when not to use this tool or list 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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