colab-mcp
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TDQS
Scored across 9 tools
Each tool targets a distinct action: connection setup, adding code/text cells, reading cells, running code, updating, deleting, moving cells, and changing runtime. There is no overlap in purpose, and the descriptions clearly differentiate these operations.
All tool names follow a consistent verb_noun snake_case pattern (e.g., add_code_cell, get_cells, delete_cell). The naming is uniform and predictable, making it easy to infer each tool's function.
With 9 tools, the server is well-scoped for Colab notebook management. Each tool covers a necessary operation without redundancy, making the count appropriate for its purpose.
The tool set covers the full lifecycle of notebook editing: connecting, adding cells, reading state, executing, updating, deleting, moving, and changing runtime. There are no obvious missing operations for the stated purpose.