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pixxelboy

IRCAM Amplify MCP Server

by pixxelboy

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      TDQS

      A4.2/5.0

      Scored across 5 tools

      Disambiguation5/5

      Each tool has a clearly distinct purpose with no overlap: analyze_loudness focuses on loudness metrics, analyze_music on musical features, detect_ai_music on AI detection, separate_stems on audio separation, and check_job_status on job monitoring. The descriptions clearly differentiate their functions, eliminating any ambiguity.

      Naming Consistency5/5

      All tool names follow a consistent verb_noun pattern in snake_case (e.g., analyze_loudness, check_job_status). This uniformity makes the tool set predictable and easy to understand, with no deviations in naming conventions.

      Tool Count5/5

      With 5 tools, the server is well-scoped for audio analysis and processing. Each tool serves a specific, non-redundant function, and the count is appropriate for covering core operations without being overwhelming or insufficient.

      Completeness4/5

      The tool set covers key audio analysis tasks (loudness, music features, AI detection, stem separation) and includes job status checking for async operations. A minor gap is the lack of tools for audio editing or synthesis, but the provided tools support a complete workflow for analysis and processing within the stated domain.