OpenXAI MCP Server

MIT License

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evaluate_explanation

Assess the quality of AI-generated explanations using defined OpenXAI metrics such as PGI, PGU, RIS, and RRS. Input JSON-based explanations and model details for precise evaluation.

Instructions

Evaluate explanation quality using OpenXAI metrics

Input Schema

Name	Required	Description
`explanation`	Yes	JSON string of the explanation to evaluate
`metric`	Yes	Evaluation metric to use (PGI, PGU, RIS, RRS, ROS, etc.)
`model_info`	Yes	Information about the model

Input Schema (JSON Schema)

{
  "properties": {
    "explanation": {
      "description": "JSON string of the explanation to evaluate",
      "type": "string"
    },
    "metric": {
      "description": "Evaluation metric to use (PGI, PGU, RIS, RRS, ROS, etc.)",
      "enum": [
        "PGI",
        "PGU",
        "RIS",
        "RRS",
        "ROS",
        "FA",
        "RA",
        "SA",
        "SRA",
        "RC",
        "PRA"
      ],
      "type": "string"
    },
    "model_info": {
      "description": "Information about the model",
      "properties": {
        "data_name": {
          "type": "string"
        },
        "ml_model": {
          "type": "string"
        }
      },
      "type": "object"
    }
  },
  "required": [
    "metric",
    "explanation",
    "model_info"
  ],
  "type": "object"
}

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