Colab MCP Adapter
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TDQS
Scored across 8 tools
Session lifecycle tools are clearly separated by action and target, and read-only helpers like get_url and log have distinct purposes. The only mild ambiguity is between code_execute and file_execute, which both execute Python in a session but differ by input form and are clarified in their descriptions.
All tools use snake_case with a consistent colab_ prefix and mostly follow a resource_action pattern. Minor deviations exist: colab_session_log uses only a noun, and colab_session_get_url adds an extra noun to the usual pattern.
Eight tools is well-scoped for a Colab session adapter, covering creation, listing, status, termination, execution, URL access, and logs without obvious padding. Each tool appears to earn its place in the surface.
The core session lifecycle and execution workflows are covered, including logs and browser URL access. Explicit file upload/download or notebook-file operations are absent, though agents can likely work around this by writing files through code_execute.