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SebastianGilPinzon

colab-mcp (enhanced fork)

get_cells

Retrieve cell IDs, contents, and outputs from the active Colab notebook to support iterative code writing, running, and adjusting.

Instructions

Read the current notebook state: list of cells with their IDs, contents, and outputs. Essential for iterative work (write -> run -> read -> adjust). Requires an active browser connection via open_colab_browser_connection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, description covers that it is a read operation and lists returned data. It mentions the prerequisite connection but could add details like no side effects or limitations. Adequate given simplicity.

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 concise sentences, front-loaded with purpose, no waste.

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?

Given zero parameters and existence of output schema, description covers return type and prerequisite. Lacks explanation of 'current notebook state' but sufficient for agent.

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

Parameters4/5

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

No parameters; baseline score of 4 applies. Description does not need to add parameter info.

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 resource (current notebook state: cells) and specifies what is returned (IDs, contents, outputs). It distinguishes from sibling write tools.

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?

Provides explicit usage context ('Essential for iterative work') and a prerequisite ('Requires an active browser connection via open_colab_browser_connection'). Could mention when not to use or alternative read tools if any, but still clear.

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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