imagefeatures-mcp
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TDQS
Scored across 9 tools
Each tool has a clearly distinct purpose: analysis, quality check, comparison, raw feature extraction, vibe filtering, similarity search, color extraction, feature listing, and color sorting. Even overlapping areas like comparison and similarity are differentiated by scope (two images vs. a folder).
All tool names follow a consistent snake_case verb_noun pattern (e.g., analyze_image, sort_by_color, get_dominant_colors). There are no mixed conventions or vague verbs like 'process' or 'do_thing'.
9 tools is appropriate for the domain of mathematical image feature extraction. Each tool provides a distinct operation without unnecessary duplication or missing essential functionality.
The tool set covers the full lifecycle of feature-based image analysis: single image analysis, quality assessment, pairwise comparison, raw feature extraction, vibe categorization, similarity search, color extraction, feature enumeration, and folder organization. No obvious gaps for the stated purpose.