The server defines 3 tools for OCR document processing with reasonable schema completeness. All tools have descriptions and input schemas with type definitions. However, several moderate gaps exist: (1) Tool naming could be more verb-focused and action-oriented ('re_ocr_region' is passive; 'refine_region' or 'extract_region_text' would be clearer). (2) Parameter descriptions lack clarity on expected behavior and constraints, e.g., 'focus' in re_ocr_region doesn't explain the expected format or output. (3) Output schemas are not documented, making it unclear what these tools return. (4) Error handling and recovery guidance are absent. (5) No per-parameter validation rules or examples. The tools operate on a domain (OCR extraction) where composition and chaining are likely, but there's no documentation of which tools call each other or what IDs they exchange. The schema completeness is above average for parameters, but the lack of output documentation and weak error handling prevents a higher score.

• Rename 're_ocr_region' to 'refine_region_ocr' or 'extract_text_from_region' to make the action explicit.
• Rename 'analyze_document_structure' to 'classify_document_type' if it primarily identifies the document type, or 'describe_document_layout' if it returns structure details.
• Document the return schema for each tool. For extract_fields_batch, specify: does it return [{ field_name, field_value, confidence, location }, ...] or an object with a 'fields' array? For analyze_document_structure, does it return { document_type, layout_analysis, extraction_strategy, confidence } directly?
• Add enum or pattern constraints for 'focus' parameter. E.g., 'One of: invoice_number, date, amount, customer_name, line_items, or free-form text search term (max 50 chars).'
• Add validation_rule guidance: 'For extract_fields_batch, validation_rule is optional. Supported values: email, phone, date (ISO 8601), currency (USD, EUR, etc.), url, zip_code. Leave empty for free-text fields.'
• Document error scenarios: 'If confidence falls below threshold, re_ocr_region will return { success: false, reason: "low_confidence", current_confidence: 0.45, recommendation: "Expand region or adjust focus parameter" }'.
• Add a 'discover_canonical_fields' tool or parameter that returns a list of valid field_name values for extract_fields_batch. Without this, the agent must guess.
• Clarify coordinate system: 'All coordinates are normalized to [0, 1] with origin at top-left (0, 0) and bottom-right (1, 1). To convert from pixel coords: x_norm = pixel_x / page_width.'