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Scored across 11 tools
The tools generally map to distinct pipeline stages: fetch, transcribe, validate, voice selection, TTS render, QA, assembly, and diagnostics. There is some sequential overlap between fetch_source/transcribe and tts_preview/tts_render, but the descriptions make the intended usage clear.
All tool names use snake_case and most follow a verb_noun pattern such as list_runs, fetch_source, check_script, and assemble_audio. Minor deviations like run_status, transcribe, tts_preview, tts_render, qa_audio, and doctor are still readable and predictable by domain context.
Eleven tools is well within a reasonable range for an end-to-end audio story production pipeline. Each tool corresponds to a meaningful stage or utility, and none appear obviously redundant.
The surface covers the main audio workflow: source intake, transcription, script validation, voice listing, TTS preview/render, QA, assembly, and environment diagnostics. Minor gaps remain around explicit script/cast authoring and run cleanup/deletion, though these may be handled by external file tools.