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ihrpr
by ihrpr

execute_cell

Run a specific cell in a Jupyter notebook and get its output to confirm error-free execution and expected results.

Instructions

Executes a specific cell in a notebook and returns its output. Useful to check that the cell runs without errors as well as produces the desired output.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cell_idYes
notebook_pathYes
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the core behavior (execution, output return) and implies error checking, but it does not mention potential side effects (e.g., changing kernel state, filesystem modifications) or what happens on errors (though 'without errors' hints at error reporting). This is adequate but not rich in detail.

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 two concise sentences with no fluff. It front-loads the primary action and then explains the intended use case, earning every word.

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?

For a relatively simple tool with no output schema and no annotations, the description covers the basic purpose but leaves gaps: no mention of error behavior, timeouts, or the exact return format. Given the simplicity, this is a minimum viable description but not fully complete.

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?

The schema provides no descriptions for notebook_path or cell_id, and the description does not mention these parameters at all. Since schema coverage is 0%, the description must compensate, but it fails to explain the meaning or format of the parameters. The names are self-explanatory but do not cover details like whether cell_id is an index or UUID.

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: 'Executes a specific cell in a notebook and returns its output.' This uses a specific verb and resource, and naturally distinguishes this tool from siblings like read_notebook_with_outputs (which reads without executing) and add_cell/edit_cell (which modify the structure).

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 provides clear context: 'Useful to check that the cell runs without errors as well as produces the desired output.' This tells the agent when to use this tool, though it does not explicitly mention alternatives or when not to use it. The exclusion from read-only tools is implied but not stated.

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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