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Arcade Optimized

Arcade.dev LLM tools for Microsoft Excel

Author:Arcade
Version:1.1.1
Auth:User authorization via the Microsoft auth provider
10tools

Microsoft Excel toolkit for Arcade lets LLMs read, write, audit, and comment on Excel workbooks stored in OneDrive for Business via the Microsoft Graph API.

Capabilities

  • Workbook discovery & metadata — search OneDrive by keyword or folder to locate .xlsx files; inspect workbook structure (worksheets, named ranges, tables, charts, protection state, used ranges) before operating on data.
  • Reading & querying data — read worksheet ranges with pagination, column projection, row filtering, and optional annotations (formulas, types, number formats, borders/fills); aggregate rows into grouped summaries (sum, average, count, min/max) without fetching raw data.
  • Writing & formatting — create new workbooks or edit existing ones with a rich operation set: write/clear cells, apply font/fill/border/alignment formatting, size rows and columns, sort, manage tables and charts, handle worksheets and named ranges, protect sheets, and recalculate.
  • Upload & export — upload a finished .xlsx file byte-for-byte (resumable for large files) instead of rebuilding it cell-by-cell; export worksheet data as CSV or TSV.
  • Data quality auditing — scan a sheet or entire workbook for formula errors, type outliers, inconsistent columns, accidental duplicates, and blank cells, with severity-ordered results and workbook-wide support.
  • Commenting — list comment threads (or replies on a specific thread) and post plain-text replies to existing threads.

OAuth

This toolkit authenticates via OAuth 2.0 with Microsoft as the identity provider. See the Microsoft auth provider docs for configuration details.

Available tools(10)

10 of 10 tools
Operations
Behavior
Tool nameDescriptionSecrets
Summarize a worksheet by grouping rows and computing per-group aggregates in one call. Use this instead of reading and paginating raw rows when you need totals, averages, counts, or min/max broken down by one or more columns (e.g. revenue by region). Columns can be referenced by letter (group_by) or by header name (group_by_headers) — use whichever is more convenient. Groups are returned in first-seen order and capped by ``limit``. Always check each aggregate's ``numeric_count`` field: non-numeric and formula-error cells are silently skipped for sum/average/min/max, so a clean-looking total may exclude rows — the ``warnings`` list will name every column and group where this occurred.
Create a new .xlsx workbook or edit an existing one in OneDrive for Business. Omit `item_id` to create (an empty workbook is created from `filename`, then the operations are applied); provide `item_id` to edit. To create a populated workbook, pass `filename` plus set_values operations; name the target tab via `worksheet` (or reference one consistent sheet name in the operations) and the new workbook's initial sheet is renamed to match. For a finished file with formatting/charts intact, upload the bytes instead of rebuilding cell-by-cell. Each entry in `operations` selects a behavior via its `type`: write/clear cells, format cells (font, fill, borders, alignment, wrap, row height), size rows and columns, sort, add/restyle tables (style, totals, banding, filter), add/move/restyle charts (anchor cell, size, title, legend, axis titles), manage worksheets and named ranges, protect a sheet, and recalculate. See the `operations` parameter for the per-type fields.
Get a workbook's structure: worksheets, named ranges, and optionally extents and objects. Call this first when exploring an unfamiliar workbook: it surfaces hidden worksheets, workbook-scoped named ranges, tables, charts, and (with the flags) used ranges, protection state, and worksheet-local named ranges, so you can target reads precisely and avoid mistaking a stale dashboard sheet for the source data. Use `include_used_ranges` to learn where data lives before reading, and `include_objects` to enumerate tables and charts. Both add a per-worksheet fan-out, so leave them off for a quick worksheet listing.
List a workbook's comments, or the replies on a specific comment thread. Provide a comment ID to retrieve that thread's replies instead of the top-level comments.
Read a worksheet range with the detail you choose, with guardrails for large sheets. Request `annotations` for formulas, cell types, number formats, or the range's fill/font/borders; `filter_column` + `filter_contains` to keep matching rows; `columns` to project a subset; `export` for csv/tsv. Reads are bounded to the used range and capped by a row limit and cell budget, paginating via `next_range` rather than returning a whole large sheet at once. Set `row_format="records"` (with `has_header=true`) to get a `record` dict on each data row, keying cell values by the header row (the top row of the worksheet's used range) — useful when agents need to map values to named columns without tracking positional indices. The header is carried across pages, so paginated reads via `next_range` stay correctly keyed. Each row still includes `values`. To verify formulas, types, or number patterns in the returned cells, pass `annotations` (e.g. `["formulas", "types"]`); annotation values land under `annotations` keyed by A1 address alongside the displayed values.
Post a plain-text reply to an existing comment thread on a workbook. The reply is appended to the end of the thread.
Scan a worksheet (or the whole workbook) for data-quality problems as a structured list. Each issue carries a ``severity`` field (``"high"``, ``"medium"``, or ``"low"``) and the list is ordered high → low before any truncation cap is applied, so critical findings are never dropped in favour of lower-priority ones. By default the scan is sheet-scoped (the named worksheet, or the first sheet when ``worksheet`` is omitted). Pass ``worksheet='*'`` for a workbook-wide audit: every sheet is scanned in one call and each issue carries its own ``worksheet`` field. Detects formula-error cells (``severity="high"``), type outliers within a column — a column mostly one type with a few cells of another — (``severity="medium"``), inconsistent_column for a column that mixes cell types without a strong majority (``severity="medium"``), accidental duplicate values in mostly-unique columns (``severity="medium"``), and blank cells inside an otherwise-populated region (``severity="low"``). Categorical columns (where repetition is expected) are not flagged as duplicates, and the header row is excluded from type-outlier and duplicate checks. A clean sheet returns an empty issues list. Detection is deterministic. Results are capped; when the cap is reached ``truncated`` is True and a warning is added. Merged cells are a known limitation: Microsoft Graph reports only the merge anchor as populated and every covered cell as empty, so cells hidden under a merge may be flagged as blanks. A worksheet cannot be scanned when its used range exceeds an internal cell limit (this tool takes no range argument): a single-sheet scan raises an error asking you to reduce the data, while a whole-workbook scan skips the oversized sheet and names it in a warning so the rest of the workbook is still scanned.
Find Excel workbooks in OneDrive by keyword or folder, returning their item_ids. Provide `query` to search the whole drive by name/content, or leave it empty and pass `parent_folder_id` to list one folder; only .xlsx files are returned. Use a returned `item_id` to read, edit, scan, or comment on a workbook you did not create this session.
Upload a complete .xlsx file into OneDrive for Business, preserving it byte-for-byte. Use this instead of rebuilding a finished file cell-by-cell. Large files are uploaded via a resumable upload session automatically.
Get information about the current user and their Microsoft Excel environment.
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