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Scored across 11 tools
Tools are mostly distinct: inspection (analizar_imagen), quality measurement (medir_calidad), viewing (ver_imagen) and the batch lifecycle (empezar/ver/cancelar_lote) are cleanly separated. The only mild overlap is between comparar_formatos and optimizar_imagen, since both encode an image, but the descriptions explicitly cross-reference each other and state when to use which.
All names follow a consistent Spanish verb_noun snake_case pattern (analizar_imagen, optimizar_imagen, empezar_lote, ver_lote, guardar_preset, listar_presets, medir_calidad). acerca_de_apolo is the only non-verb name, but 'about' naming is a conventional exception and remains clearly readable.
Eleven tools is well within the ideal range and each maps to a genuine step in the image optimization workflow: inspect, optimize, compare, measure, view, batch, presets, info. No tool appears redundant or like filler.
Coverage is strong: single-image and batch conversion, cancellation and progress polling, quality metrics, visual diffing, and preset listing/creation form a full lifecycle. The main gap is preset management — update/delete are explicitly deferred to the Apolo app, so an agent cannot fully manage presets from here.