A
licenseNot graded
qualityD
maintenanceEnables AI agents to perform image processing tasks such as sprite sheet splitting, resizing, cropping, and batch operations on local images.
MIT
UpscaleX
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TDQS
A3.7/5.0
Scored across 7 tools
Disambiguation4/5
Each tool has a recognizable distinct role: diagnostics, upscaling, recommendation, download, metadata, catalog listing, and DPI math. The only mild overlap is recommend_model vs list_available_models and get_image_metadata's print sizing vs calculate_print_dpi, but the descriptions make the boundaries clear enough.
Naming Consistency5/5
All seven tools follow a strict snake_case verb_noun pattern (get_, upscale_, recommend_, download_, list_, calculate_), with no mixed conventions or vague names.
Tool Count5/5
Seven tools is well-scoped for an image-upscaling service: one primary action plus the supporting discovery, setup, and inspection steps needed to use it.
Completeness4/5
The surface covers the full pipeline from hardware detection through model discovery/download and upscaling to metadata and print-fidelity checks. Minor gaps exist: no job status/progress check for long upscales and no way to remove or uninstall a downloaded model despite listing installation status.
Maintenance
ActivityMaintained
ResponsivenessNo recent community issues