Server has 9 tools with complete input schemas and descriptions. Naming follows verb_noun convention (analyze_image, compare_images, etc.). Descriptions are substantive (100-200 chars) and explain the mathematical nature of analysis. However, output schemas are not documented in the source code, LLMs cannot see what fields to expect from responses. Parameters lack enums where appropriate (e.g., 'preset' and 'feature' accept free-form strings despite having known valid values). Error handling is absent, no guidance on recovery or invalid input handling. Security: tools accept file paths as strings with no validation, risking path traversal attacks.

• Document output schemas for all tools. E.g., analyze_image should declare: returns {preset: string, features: {[name]: array<number>}, metadata: {width, height, format}}. This enables LLMs to extract and chain results.
• Convert 'preset', 'feature', 'metric', 'sort_by' parameters to enums with explicit valid values. E.g., preset: enum[quick, color, color_advanced, texture, texture_advanced, shape, shape_advanced, layout, combined, full].
• Add input validation: check file existence, validate image format, enforce num_colors bounds (1-20), validate folder paths. Return actionable errors: 'File not found: /path/to/image.jpg. Check the path and try again.'
• Enhance parameter descriptions with constraints. E.g., 'image_path (string): Path to image file. Supported: jpg, png, webp, bmp. Must exist and be readable.' and 'num_colors (integer, 1-20, default 5): Number of dominant colors to extract.'
• Add a discovery tool or enhance list_features to return vibe categories and valid feature names, enabling LLMs to self-correct when filter_by_vibe or extract_features receive invalid values.