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SebastianGilPinzon

colab-mcp (enhanced fork)

update_cell

Update an existing cell's content in a Colab notebook. 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?

No annotations are provided, so the description carries full burden. It indicates mutation (update) but does not disclose permissions, reversibility, or whether content replaces or appends. More detail on behavioral traits is needed.

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 sentences: one for purpose, one for prerequisite. No wasted words. Front-loaded with the core action.

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?

With output schema present, description need not explain return values. However, parameter details are missing, and for a simple update tool with 2 params, more context on content format or cell identification would improve completeness.

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 coverage is 0%, meaning no parameter descriptions in the schema. The description does not explain cellId or content, their format, or expected values. It adds no meaning beyond the schema.

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 'Update' and the resource 'contents of an existing cell in the Colab notebook'. This distinguishes it from sibling tools like add_code_cell, delete_cell, etc.

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?

It explicitly states a prerequisite: 'Requires an active browser connection via open_colab_browser_connection'. This gives clear context for when to use, though it does not exclude alternatives or mention when not to use.

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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