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      TDQS

      A3.5/5.0

      Scored across 24 tools

      Disambiguation4/5

      Most tools have distinct purposes, but there is some overlap between search_voice_library and search_voices, which could cause confusion as both search for voices but target different scopes (entire library vs. user's library). Other tools like text_to_speech and text_to_voice are clearly differentiated by their outputs (speech vs. voice previews).

      Naming Consistency5/5

      Tool names follow a consistent snake_case pattern with clear verb_noun structures, such as create_agent, list_agents, get_agent, and compose_music. There are no deviations in naming conventions, making the set predictable and easy to understand.

      Tool Count3/5

      With 24 tools, the count is on the higher side for a single server, potentially overwhelming for agents. While it covers a broad range of ElevenLabs functionalities, it might benefit from better scoping or categorization to reduce cognitive load.

      Completeness4/5

      The tool set provides comprehensive coverage for audio generation, voice management, agent handling, and conversation tracking. Minor gaps include lack of update/delete operations for agents or voices, but core workflows are well-supported with create, get, list, and search tools.