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update_cell

Replace an existing cell's code or text in a Colab notebook. Provide the cell ID and new content; requires an active browser connection.

Instructions

Update the contents of an existing cell in the Colab notebook. Requires an active browser connection via open_colab_browser_connection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cellIdNo
contentNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full responsibility for behavioral disclosure. It mentions the browser connection requirement but does not explain that updating overwrites existing content, whether the operation is reversible, or what the response contains. This is a significant gap for a mutation tool.

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 sentences long, front-loaded with the primary purpose, and provides only essential extra context (the browser connection requirement). No unnecessary words.

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, the description is minimally adequate: it states the purpose and a key requirement. However, it omits details about parameter formats and expected behavior, leaving room for ambiguity. The presence of an output schema reduces the need to explain returns, but the description still lacks completeness for a smooth invocation.

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 input schema has 0% description coverage, and the description does not explain the 'cellId' or 'content' parameters beyond the obvious. It fails to specify how to obtain a cellId or what content format is expected, leaving parameter semantics unclear.

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's function: updating the contents of an existing cell. The verb 'update' and resource 'cell' are specific, and this distinguishes it from siblings like add_cell, delete_cell, and run_code_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?

The description implies usage for modifying existing cells and provides a prerequisite (active browser connection), but does not explicitly state when to use this tool over alternatives or when not to use it. That makes usage guidance implicit rather than explicit.

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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