@runapi.ai/gemini-omni-mcp
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TDQS
Scored across 6 tools
Each tool targets a distinct operation: video creation, character creation, audio creation, pricing lookup, task status fetch, and authentication. There is no ambiguity between them, as the action and resource are clearly separated.
Most tools follow a verb_noun pattern (create_character, create_audio, check_pricing, get_task), but text_to_video is a descriptive noun phrase rather than a verb, and login is a single verb. These minor deviations are still readable and predictable overall.
With 6 tools, the server is well-scoped for a media generation API. It covers creation, status tracking, pricing, and authentication without unnecessary bloat or redundancy.
The tool surface covers the core lifecycle: creating various media types, retrieving task results, checking pricing, and authenticating. Missing operations like list/cancel tasks or delete resources are plausible gaps but not critical for typical usage, so the coverage is largely sufficient.