SheetForge MCP
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TDQS
Scored across 78 tools
There are multiple overlapping clusters—four read/table tools, duplicate data-validation inspectors, and similar append/upsert row tools—so an agent can easily choose the wrong one. The descriptions help somewhat, but boundaries between generic worksheet reads and native-table reads, or between worksheet-row updates and Excel-table updates, remain fuzzy.
The vast majority of tools follow a clear verb_noun snake_case pattern (create_*, list_*, set_*, delete_*, inspect_*), which helps navigation. Minor deviations such as quick_read and cross_workbook_lookup, plus a few read_* variants, prevent a perfect score.
With 78 tools, the surface is far above the 3–15 well-scoped band and qualifies as an extreme mismatch. Many tools are micro-variants or batch wrappers (format_range/format_ranges, query_table/bulk_filter_workbooks), bloating the agent's selection space.
Core workbook, worksheet, range, formula, table, and row/column workflows are well covered, including audit and repair operations. However, lifecycle coverage is uneven: charts, pivot tables, and native tables have no delete path, and data validation/conditional formatting can be inspected or removed but not created, leaving several workflows with dead ends.