---

name: feedback-ls description: > Send document pages to Label Studio for human review — pre-annotated tasks from ALTO XML, or blank image-only tasks to annotate from scratch. Use when the user wants human review, correction, or quality assurance of transcriptions or line/region segmentation, or wants to build annotation tasks from browse results.

Label Studio Feedback Workflow

Send document pages to Label Studio for human annotation and feedback.

Tool

• label_import_to_label_studio — Import pages to a Label Studio project. Two modes:
  • With ALTO: pre-annotated tasks with polygons and transcriptions
  • Images only: blank tasks for annotation from scratch

When to Use

• User asks to send pages for human review or annotation
• User wants to flag transcription or segmentation issues
• User wants to create Label Studio tasks from browse results
• User wants to send images for annotation from scratch
• User asks for quality assurance on specific pages

Two Modes

Mode 1: Pre-annotated (with ALTO XML)

Use when pages already have AI transcriptions. The tool fetches ALTO XML, extracts text line polygons and transcriptions, and creates VectorLabels pre-annotations.

{
  "image_urls": [
    "https://lbiiif.riksarkivet.se/arkis!30002056_00004/full/max/0/default.jpg"
  ],
  "alto_urls": [
    "https://sok.riksarkivet.se/dokument/alto/SE_RA_30002056_00004"
  ],
  "feedback": [["Transcription"]]
}

Mode 2: Images only (no ALTO)

Use when there are no existing transcriptions — the user wants to annotate from scratch. Just pass image URLs, omit alto_urls.

{
  "image_urls": [
    "https://lbiiif.riksarkivet.se/arkis!30002056_00004/full/max/0/default.jpg",
    "https://lbiiif.riksarkivet.se/arkis!30002056_00005/full/max/0/default.jpg"
  ]
}

Choosing the Right Source for Pre-annotations

When the user wants to send pages with pre-annotations, choose the source based on what's available:

Situation	Source	How
Pages from browse_document results	ALTO XML from Riksarkivet	Pass alto_urls from browse output
User has images without transcriptions	No pre-annotations	Omit alto_urls (image-only mode)
User has images and wants AI transcription first	HTR transcription	Use htr_transcribe first to generate ALTO XML, then pass the ALTO export URLs as alto_urls
User wants to label/annotate themselves	No pre-annotations	Omit alto_urls — blank tasks for manual annotation

Tip: If the user has untranscribed images and wants pre-annotations, suggest running htr_transcribe (see /htr-transcription skill) first to generate ALTO XML, then feed those results into this tool.

Workflow

1. Get page URLs

From browse results: Call browse_document first (or use results already in the conversation). Each page includes:

• ALTO XML URL: https://sok.riksarkivet.se/dokument/alto/...
• Image URL: https://lbiiif.riksarkivet.se/arkis!.../full/max/0/default.jpg

From any image source: Any publicly accessible image URL works for image-only mode.

2. Determine feedback choices (optional, ALTO mode only)

Value	Meaning
Transcription	Text recognition needs correction
Segmentation	Line/region boundaries need correction

Each page gets its own list of feedback values. Use an empty list [] for pages that need general review without a specific feedback flag.

3. Optionally assign to a user

Pass assign_to with a Label Studio user's email to auto-assign the imported tasks for annotation. If omitted, tasks are created unassigned.

{
  "image_urls": ["..."],
  "alto_urls": ["..."],
  "assign_to": "reviewer@example.com"
}

4. Call the tool

Label Studio URL, token, and project ID are configured via environment variables (LS_URL, LS_TOKEN, LS_PROJECT_ID) — no need to pass them unless overriding.

5. Confirm to the user

The tool returns:

• Number of tasks imported and the mode (pre-annotated or image-only)
• Who the tasks were assigned to (if assign_to was provided)
• Direct links to each task in Label Studio for labeling

Share the task links with the user so they can go directly to Label Studio.

Dry Run — Preview Before Import

Set dry_run=true to see the converted Label Studio JSON without importing.

{
  "image_urls": ["..."],
  "alto_urls": ["..."],
  "dry_run": true
}

Pairing Rules

When using alto_urls, all lists are paired by index — alto_urls[i], image_urls[i], and feedback[i] refer to the same page.

Rule	Detail
image_urls is always required	One image URL per page
alto_urls is optional	Omit for image-only tasks
alto_urls and image_urls must match length	One ALTO XML per image
feedback must match length if provided	One feedback list per page
feedback requires alto_urls	Feedback choices attach to ALTO text regions

Extracting URLs from Browse Results

The browse_document tool returns per-page links in this format:

🔗 Links:
  📝 ALTO XML: https://sok.riksarkivet.se/dokument/alto/SE_RA_30002056_00004
  🖼️  Image: https://lbiiif.riksarkivet.se/arkis!30002056_00004/full/max/0/default.jpg

Collect the Image URLs (always needed) and ALTO XML URLs (only if you want pre-annotations).

Batch Strategy

• Small sets (1-10 pages): Send all pages in a single call.
• Larger sets: Batch into groups of 10-20 pages per call to avoid timeouts. The tool has a 120-second timeout.

Common Mistakes

Mistake	Fix
Mismatched list lengths	alto_urls and image_urls must be the same length
Passing feedback without alto_urls	Feedback requires ALTO (choices attach to text regions)
Passing feedback as flat list	Each entry must be a list of strings, e.g. [["Transcription"], []] not ["Transcription", ""]
Wrong ALTO URL format	Use the full URL from browse results, not just the page ID
Passing Label Studio credentials	Credentials are loaded from env vars — only pass if overriding

Environment Variables

Variable	Description
LS_URL	Label Studio instance URL
LS_TOKEN	Label Studio Personal Access Token (JWT PAT)
LS_PROJECT_ID	Target project ID

These are configured in packages/mcps/label-mcp/.env and loaded automatically.