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CI-1T Prediction Stability Engine

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      Deploy Server
      One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

      TDQS

      A4.3/5.0

      Scored across 20 tools

      Disambiguation5/5

      Each tool has a clear, distinct purpose. Core evaluation (evaluate vs fleet_evaluate), analysis (alert_check, compare_windows, interpret_scores), fleet session lifecycle, API key management, and auxiliary tools (health, onboarding, probe) are all well-separated with no overlap.

      Naming Consistency5/5

      All tool names use snake_case and follow a consistent verb_noun pattern (e.g., alert_check, create_api_key). Fleet session tools share a common prefix (fleet_session_*), and even single-word names (evaluate, health) fit the pattern.

      Tool Count5/5

      20 tools is appropriate for a prediction stability engine covering evaluation, fleet monitoring, analysis, API management, billing, and onboarding. The scope is well-scoped with no bloat or deficiency.

      Completeness5/5

      The tool surface is comprehensive: one-shot and persistent evaluation, fleet management, alerts, drift detection, score conversion, API key lifecycle, billing, health checks, config generation, and a probe. No essential operations are missing for the stated purpose.

      Maintenance

      ActivityNo data
      ResponsivenessSyncing

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