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Scored across 16 tools
Most tools have clearly distinct purposes, and the descriptions explicitly disambiguate tricky pairs (translate vs translate_subtitles, text_to_speech vs create_voiceover). The main overlap is speech_to_text vs transcribe_video (which also accepts video input and transcribes it) and diarize_audio, since speech_to_text already labels speakers — an agent could hesitate over which to call for a video file.
Everything is snake_case and mostly verb_noun (list_voices, get_balance, create_voiceover, edit_audio, find_in_transcript). A few deviate into noun-ish or product-prefixed forms (speech_to_text, text_to_speech, tapra_status), but the set stays predictable and scannable.
16 tools is slightly above the ideal band but justified by the breadth of the domain (transcription, diarization, TTS, voiceover, translation, audio editing, diagnostics). No tool looks like pure filler, though diarize_audio comes closest since speech_to_text already returns speaker labels.
The surface covers a full media-localization lifecycle: status/balance, voice listing, STT, subtitles, speaker naming, diarization, TTS, voiceover, translation (text and subtitle files), script conversion, transcript search, playback, and ffmpeg editing. Minor gaps remain around discovering/managing previously generated output files or long-running jobs, which agents must work around by tracking paths themselves.