Azure MCP Server

// Copyright (c) Microsoft Corporation. // Licensed under the MIT License. namespace ToolSelection.Models; public class SuccessRateMetrics { public int TopChoiceCount { get; set; } public int TotalTests { get; set; } // Updated granular confidence categories (non-mutually exclusive cumulative thresholds) public int VeryHighConfidenceCount { get; set; } // ≥ 0.8 public int HighConfidenceCount { get; set; } // ≥ 0.7 public int GoodConfidenceCount { get; set; } // ≥ 0.6 public int FairConfidenceCount { get; set; } // ≥ 0.5 public int AcceptableConfidenceCount { get; set; } // ≥ 0.4 public int LowConfidenceCount { get; set; } // < 0.4 // Top choice + confidence combinations public int TopChoiceVeryHighConfidenceCount { get; set; } // ≥ 0.8 public int TopChoiceHighConfidenceCount { get; set; } // ≥ 0.7 public int TopChoiceGoodConfidenceCount { get; set; } // ≥ 0.6 public int TopChoiceFairConfidenceCount { get; set; } // ≥ 0.5 public int TopChoiceAcceptableConfidenceCount { get; set; } // ≥ 0.4 // Percentages public double TopChoicePercentage => TotalTests == 0 ? 0 : (double)TopChoiceCount / TotalTests * 100; public double VeryHighConfidencePercentage => TotalTests == 0 ? 0 : (double)VeryHighConfidenceCount / TotalTests * 100; public double HighConfidencePercentage => TotalTests == 0 ? 0 : (double)HighConfidenceCount / TotalTests * 100; public double GoodConfidencePercentage => TotalTests == 0 ? 0 : (double)GoodConfidenceCount / TotalTests * 100; public double FairConfidencePercentage => TotalTests == 0 ? 0 : (double)FairConfidenceCount / TotalTests * 100; public double AcceptableConfidencePercentage => TotalTests == 0 ? 0 : (double)AcceptableConfidenceCount / TotalTests * 100; public double LowConfidencePercentage => TotalTests == 0 ? 0 : (double)LowConfidenceCount / TotalTests * 100; // Top choice + confidence combination percentages public double TopChoiceVeryHighConfidencePercentage => TotalTests == 0 ? 0 : (double)TopChoiceVeryHighConfidenceCount / TotalTests * 100; public double TopChoiceHighConfidencePercentage => TotalTests == 0 ? 0 : (double)TopChoiceHighConfidenceCount / TotalTests * 100; public double TopChoiceGoodConfidencePercentage => TotalTests == 0 ? 0 : (double)TopChoiceGoodConfidenceCount / TotalTests * 100; public double TopChoiceFairConfidencePercentage => TotalTests == 0 ? 0 : (double)TopChoiceFairConfidenceCount / TotalTests * 100; public double TopChoiceAcceptableConfidencePercentage => TotalTests == 0 ? 0 : (double)TopChoiceAcceptableConfidenceCount / TotalTests * 100; }