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Scored across 31 tools
Most tools are clearly distinct (apply_transform vs evaluate_m vs format_m serve different purposes), but a few could be confused: evaluate_query and evaluate_steps overlap in intent, and list_data_sources vs list_sources are similar in name and both deal with sources. Overall, descriptions help clarify, but a couple of pairs require careful reading.
All tool names follow a consistent verb_noun pattern, using snake_case throughout. Verbs like list, get, create, delete, update, rename, remove, validate, format, evaluate, import, export, copy, diff, refresh, preview, replace are all used in a predictable way, making the naming highly consistent and easy to learn.
With 27 tools, the server exceeds the typical well-scoped range of 3-15 tools. The breadth of functionality is impressive, but the high count may overwhelm agents, especially when several tools overlap in purpose (e.g., evaluate_query vs evaluate_steps). The count feels heavy for a single cohesive toolset, though each tool does serve a niche.
The toolset covers the full lifecycle of Power Query management: creating, reading, updating, deleting, renaming, formatting, validating, importing/exporting, diffing, snapshotting, searching, linting, and evaluating queries. It also includes comprehensive dependency analysis and source inventory, with no obvious dead ends for common workflows.