Single tool with minimal definition quality. Tool name 'execute_skill_action' is generic and does not follow verb_noun pattern clearly (execute_skill_action vs. correct_document_skew). Description is present (94 chars) but vague, does not explain WHAT the tool does, WHEN to use it, or what it returns. Input schema exists but is severely underspecified: single string parameter 'query_payload' with no format, constraints, or examples. No output schema documented. No error handling guidance. Tool appears to be a pass-through echo rather than implementing the actual document skew correction logic visible in client.py. The mcp_server.py implementation does not invoke the ScannedDocumentSkewOrientationAngleCorrector class at all, it just echoes back the input, making the tool non-functional for its stated purpose.

• Rename tool to 'correct_document_skew' or 'estimate_skew_angle' to follow verb_noun pattern and clearly signal the action.
• Expand description to 150-250 chars: 'Analyzes text line segments from a scanned document to estimate rotation skew angle and compute affine correction matrix. Returns estimated skew in degrees, recommended rotation, and confidence score. Use this to deskew pages before OCR or table extraction.'
• Define input schema with explicit JSON structure: query_payload should accept an object with 'text_line_segments' array, where each segment has x1, y1, x2, y2 (numbers) and optional id (string). Add format and constraint descriptions.
• Document output schema with all fields: estimated_skew_degrees (number), recommended_rotation_degrees (number), needs_deskew (boolean), sample_lines_count (integer), confidence (number 0-1), status (enum: SUCCESS|INSUFFICIENT_DATA|NO_HORIZONTAL_LINES).
• Implement actual tool logic: parse query_payload as JSON, instantiate ScannedDocumentSkewOrientationAngleCorrector, call estimate_skew_angle() with parsed segments, and return structured result instead of echo.