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open_colab_browser_connection

Opens a connection to a Google Colab browser session and enables notebook editing tools; optionally targets a specific notebook by URL or file ID.

Instructions

Opens a connection to a Google Colab browser session and unlocks notebook editing tools. Pass notebook_url to open a specific notebook instead of the scratch notebook: Colab links, Google Drive share links or file ids, GitHub .ipynb blob/raw links, and gist links are accepted. Calling it with a different notebook_url while connected switches to that notebook. The call waits for the user to accept the connection in the browser tab; on success, list tools again to see the notebook tools.

Input Schema

NameRequiredDescriptionDefault
notebook_urlNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does well: it discloses that the call waits for the user to accept the connection in the browser tab and that success requires listing tools again. It could go further by mentioning authentication requirements or failure modes, but the key interactive behavior is clearly surfaced.

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 three sentences, front-loads the core purpose, then covers parameter behavior and the post-success step. Every sentence adds useful information without redundancy.

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 the optional single parameter and the presence of an output schema, the description is nearly complete: it covers purpose, URL formats, switching behavior, and the user-acceptance wait. It stops short of describing failure conditions or required authentication details, but an agent has enough to invoke it correctly.

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?

Schema description coverage is 0%, but the description fully compensates by explaining that notebook_url is optional, defaults to the scratch notebook, and accepts Colab links, Drive share links/file ids, GitHub .ipynb blob/raw links, and gist links. It also clarifies switching semantics when a different URL is passed while connected.

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 states a specific verb and resource: it opens a connection to a Google Colab browser session and unlocks notebook editing tools. This is clearly distinguishable from siblings such as colab_connection_status, which likely checks status rather than initiating a connection.

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 explains that notebook_url is optional and that omitting it opens the scratch notebook, while providing it opens a specific notebook. It also notes that calling with a different URL while connected switches notebooks and instructs the agent to list tools after success. It does not explicitly name alternatives like colab_connection_status for status checks, which keeps it from a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.