ExcelMCP
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TDQS
Scored across 11 tools
Each tool targets a distinct operation: structure discovery, metadata inspection, rescanning, natural-language query, filtered row fetch, grouped aggregation, cross-file totals, joins, signed net calculations, single-cell address reads, and semantic cell lookup. The descriptions include explicit guidance on when to use each tool and warn against alternatives (e.g., aggregate vs. cross_file_aggregate). There is no meaningful overlap or ambiguity between tool purposes.
All tool names follow a consistent verb_noun pattern in snake_case: get_workspace_graph, inspect_file, scan_workspace, filter_sheet, join_sheets, get_cell, etc. Short verb-only names like query, aggregate, derive, and lookup are also consistent in style and fit the pattern of using a single verb when the object is implied. No camelCase or mixing of conventions.
With 11 tools, the server is well-scoped for an Excel workspace analysis tool. Each tool serves a clear and necessary purpose, covering discovery, querying, aggregation, joining, and cell-level access. The count is comfortably within the 3-15 range and does not feel bloated or sparse.
The tool surface covers the full read/analysis lifecycle: workspace structure discovery (get_workspace_graph, inspect_file, scan_workspace), flexible data retrieval (query, filter_sheet, get_cell, lookup), grouped aggregation (aggregate), multi-file totals (cross_file_aggregate), complex net computations (derive), and joins (join_sheets). There are no obvious missing operations for the apparent purpose of reading and analyzing Excel data.