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Capture and inspect desktop windows or regions using multiple detail levels (meta, text, OCR, Set-of-Marks, image) and background capture mode.

Instructions

Purpose: Capture desktop, window, or region across detail levels (meta / text / image / som / ocr) and capture modes (normal / background). Details: detail='meta' (default) returns window titles+positions only (~20 tok/window, no image). detail='text' returns UIA actionable elements with clickAt coords, no image (~100-300 tok). detail='som' returns OCR-detected elements with IDs plus a Set-of-Marks annotated image delivered by-ref by default (bypasses UIA entirely). detail='ocr' returns Windows OCR words with screen-pixel clickAt coords (Phase 4: absorbs former screenshot_ocr — use when UIA is sparse and you want to force OCR unconditionally). detail='image' and detail='som' both return a cheap by-ref resource_link by default (no inline base64); pass confirmImage=true to also embed the inline image (the annotated bitmap for som). mode='background' captures hidden/minimised/occluded windows via PrintWindow (Phase 4: absorbs former screenshot_background) — pair with windowTitle/hwnd. dotByDot=true returns 1:1 pixel WebP; compute screen coords: screen_x = origin_x + image_x (or screen_x = origin_x + image_x / scale when dotByDotMaxDimension is set — scale printed in response). diffMode=true returns only changed windows after the first call (~160 tok). region={x,y,width,height} captures a sub-rectangle (Phase 4: absorbs former scope_element when paired with windowTitle/hwnd — discover element bounds via desktop_discover, then pass region here). Data reduction: grayscale=true (−50%), dotByDotMaxDimension=1280 (caps longest edge), windowTitle+region (sub-crop to exclude browser chrome — e.g. region={x:0, y:120, width:1920, height:900}). Prefer: Use meta to orient, text before clicking, dotByDot only when precise pixel coords are needed. Use detail='som' for native apps or games that do not expose UIA elements (UIA-Blind). Use detail='ocr' for OCR-only (skip UIA entirely). Use mode='background' when the target window must stay hidden or cannot be brought to foreground. Prefer browser_* tools for Chrome. Use diffMode after actions to confirm state changed. Only use image+confirmImage when text returned 0 actionable elements and visual inspection is genuinely required. Caveats: Default mode scales to maxDimension=768 — image pixels ≠ screen pixels; apply the scale formula before passing to mouse_click. Foreground detail='image' returns a by-ref resource_link by default; pass confirmImage=true to also receive inline pixels. diffMode requires a prior full-capture baseline (non-diff call or workspace_snapshot) — calling diffMode cold returns a full frame, not a diff. mode='background' requires windowTitle or hwnd, and only composes with detail in {'image','meta'} — detail='text'/'som'/'ocr' run only against foreground capture (the dispatcher rejects the conflicting combination). Passing mode='background' is itself the acknowledgement that image pixels are wanted, so confirmImage is NOT required for it (matches the former screenshot_background contract). fullContent=false enables legacy mode (faster but GPU windows may be black). detail='ocr' requires windowTitle or hwnd; first call may take ~1s (WinRT cold-start) and the matching OCR language pack must be installed. Examples: screenshot() → meta orientation of all windows screenshot({detail:'text', windowTitle:'Notepad'}) → clickable elements with coords screenshot({detail:'ocr', windowTitle:'PDF', ocrLanguage:'ja'}) → OCR words with screen-pixel coords screenshot({mode:'background', windowTitle:'Chrome', dotByDot:true, dotByDotMaxDimension:1280, grayscale:true}) → background-capture pixel-accurate Chrome screenshot({windowTitle:'Notepad', region:{x:0,y:120,width:600,height:400}}) → cropped sub-region (zoom into element after desktop_discover)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hwndNoDirect window handle ID (takes precedence over windowTitle). Obtain from desktop_discover (windows[].hwnd). String type to avoid 64-bit precision issues.
modeNoCapture mode. 'normal' — default. Window-targeted captures (windowTitle / hwnd) use Win32 PrintWindow with automatic BitBlt fallback when PrintWindow returns no data or an all-black frame; the route used is reported in hints.captureSource. Fullscreen / displayId captures use BitBlt. 'background' — explicit Win32 PrintWindow capture, retained for back-compat and explicit selection. Requires windowTitle (or hwnd). Pair with fullContent for GPU-rendered apps.normal
detailNoResponse detail level (omit to let the server pick a smart default): omitted — auto: 'image' when dotByDot/region/displayId is specified, else 'meta' 'meta' — window title + screen region only (~20 tok/window, cheapest) 'text' — UIA element tree as JSON with text values (~100-300 tok/window, no image) 'image' — actual screenshot pixels. Returns a cheap by-ref resource_link by default (no inline base64); pass confirmImage=true to ALSO embed the inline image. 'som' — Set-of-Marks elements + annotated image (bypasses UIA entirely). Returns the OCR elements[] plus a cheap by-ref resource_link by default (no inline base64); pass confirmImage=true to ALSO embed the annotated bitmap. 'ocr' — Windows OCR words with screen-pixel clickAt coords (Phase 4: absorbs former screenshot_ocr). Use when UIA returns no actionable elements (WinUI3 custom-drawn UIs, game overlays, PDF viewers). Note: detail='text' auto-falls back to OCR via ocrFallback='auto'; choose detail='ocr' only when forcing OCR unconditionally.
regionNoCapture only this sub-region. Without windowTitle: virtual screen coordinates. With windowTitle: window-local coordinates — useful to exclude browser chrome (tabs/address bar). Example: windowTitle='Chrome', region={x:0, y:120, width:1920, height:900} skips the 120px browser chrome.
includeNoOptional response-shape opt-in. `['envelope']` returns the self-documenting envelope (`_version` / `data` / `as_of` / `confidence`). `['raw']` forces raw shape (overrides DESKTOP_TOUCH_ENVELOPE=1 server default). Default behaviour is raw shape (compat with existing clients).
diffModeNoLayer diff mode — compares each window against the buffered previous frame. First call = full I-frame (all windows). Subsequent calls = only changed windows (P-frame). Implicitly enables dotByDot. Best used with windowTitle=undefined to snapshot all windows.
dotByDotNo1:1 pixel mode — no scaling, WebP compression. Window captures include 'origin: (x,y)' so you can compute screen position: screen_x = origin_x + image_x. When dotByDotMaxDimension is also set, scale factor is included: screen_x = origin_x + image_x / scale.
displayIdNoCapture a specific monitor (0 = primary). Use desktop_state({includeScreen:true}) to list displays.
grayscaleNoConvert to grayscale before encoding. Reduces file size ~50% for text-heavy content (e.g. AWS console, code editors). Avoid when color is meaningful (charts, status indicators).
fullContentNoWhen mode='background', use PW_RENDERFULLCONTENT to capture GPU-rendered windows (Chrome, Electron, WinUI3). Default true. Set false for legacy mode (faster but GPU windows may appear black). Ignored unless mode='background'.
ocrFallbackNoOCR fallback behaviour when detail='text'. 'auto' (default): fire Windows OCR if UIA returns 0 actionable elements OR hints.uiaSparse=true (UIA returned <5 elements, typical for Chrome). 'always': always augment actionable[] with OCR words. 'never': disable OCR entirely.auto
ocrLanguageNoBCP-47 language tag for the OCR engine (e.g. 'ja', 'en-US'). Auto-detects from system locale when omitted. Used when detail='text' (OCR fallback) or detail='ocr' (direct OCR).
webpQualityNoWebP quality when dotByDot=true or diffMode=true. 40=layout only, 60=general (default), 80=fine text.
windowTitleNoCapture only the window whose title contains this string. Use '@active' for the current foreground window. Prefer over full-screen when target window is known.
confirmImageNoEmbed inline image pixels in the response. detail='image' now returns a cheap by-ref resource_link WITHOUT this flag (it is no longer blocked); confirmImage=true ADDITIONALLY embeds the inline image for immediate vision. detail='som' likewise returns its elements[] + a by-ref resource_link by default; confirmImage=true ADDITIONALLY inlines the annotated SoM bitmap. Prefer detail='text' / diffMode=true / dotByDot=true first — set confirmImage=true only when inline visual inspection is genuinely required.
maxDimensionNoMax width or height in pixels (default 768). Use 1280 to read small text, code, or fine UI details. Ignored when dotByDot=true.
preprocessPolicyNoOCR preprocessing scale policy for detail='som' and OCR fallback paths. 'auto' (default): clamp scale to 1 on OOM (>8MP) or high-DPI (≥150%). 'aggressive': relaxes DPI clamp to 175%, preserving upscale on 150%-DPI monitors (e.g. Outlook PWA). Also auto-enables adaptive binarization. 'minimal': always scale=1 regardless of DPI/resolution.auto
preprocessAdaptiveNoWhen true, apply Sauvola adaptive binarization after contrast stretch. Improves recognition of thin text on low-contrast or gradient backgrounds. Automatically enabled when preprocessPolicy='aggressive'. Requires Rust native engine; silently skipped otherwise.
dotByDotMaxDimensionNoCap the longest edge (pixels) when dotByDot=true. Reduces payload while preserving coordinate math. Example: 1280 on a 1920×1080 screen → scale≈0.667. Response includes scale factor: screen_x = origin_x + image_x / scale. Recommended for Chrome: dotByDot=true, dotByDotMaxDimension=1280, grayscale=true.
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses key behaviors: default scaling to maxDimension=768, by-ref resource links, coordinate math, diffMode requiring a baseline, background mode requirements, mode-detail compatibility, fullContent defaults, and fallbacks. Every important behavioral trait is documented.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is long but well-structured with sections (Purpose, Details, Prefer, Caveats, Examples). It is front-loaded with the overall purpose. Every sentence adds value given the tool's complexity (19 parameters). A slightly tighter edit could reduce redundancy, but it remains clear and organized.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (19 parameters, multiple modes, no output schema), the description is remarkably complete. It covers all modes, parameters, integration with sibling tools (desktop_discover, mouse_click), and provides examples for common scenarios. No gaps are apparent for an AI agent to correctly invoke the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so parameters are already documented. The description adds significant value: it provides examples for combining parameters, explains behavioral context (e.g., confirmImage interaction with detail='image'/'som'), and clarifies coordinate systems for region. This enriches understanding beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Capture desktop, window, or region across detail levels (meta / text / image / som / ocr) and capture modes (normal / background).' It distinguishes itself from sibling tools by noting when to prefer browser_* tools for Chrome, and the examples cover common use cases. The specificity of verb+resource+scope is excellent.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The 'Prefer:' section explicitly provides when-to-use guidance for each detail level and mode, and gives alternatives (e.g., 'Use browser_* tools for Chrome', 'Use diffMode after actions to confirm state changed'). The 'Caveats' section clarifies restrictions and prerequisites. This is comprehensive and actionable.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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