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Cappybara12

OpenXAI MCP Server

by Cappybara12

list_metrics

Discover available evaluation metrics for AI explanation methods, filtering by metric type to assess faithfulness, stability, or fairness.

Instructions

List available evaluation metrics in OpenXAI

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metric_typeNoFilter by metric type (faithfulness, stability, fairness)

Implementation Reference

  • The primary handler function `listMetrics(metricType)` that executes the tool logic. It defines metrics grouped by categories (faithfulness, stability, ground_truth) and returns filtered list based on input metric_type or 'all', formatted as MCP content response.
    async listMetrics(metricType) { const metrics = { faithfulness: { PGI: { name: 'Prediction Gap on Important feature perturbation', description: 'Measures the difference in prediction probability when perturbing important features', higher_is_better: true }, PGU: { name: 'Prediction Gap on Unimportant feature perturbation', description: 'Measures the difference in prediction probability when perturbing unimportant features', higher_is_better: false } }, stability: { RIS: { name: 'Relative Input Stability', description: 'Measures maximum change in explanation relative to changes in inputs', higher_is_better: false }, RRS: { name: 'Relative Representation Stability', description: 'Measures maximum change in explanation relative to changes in internal representation', higher_is_better: false }, ROS: { name: 'Relative Output Stability', description: 'Measures maximum change in explanation relative to changes in output predictions', higher_is_better: false } }, ground_truth: { FA: { name: 'Feature Agreement', description: 'Fraction of top-K features common between explanation and ground truth', higher_is_better: true }, RA: { name: 'Rank Agreement', description: 'Fraction of top-K features with same rank in explanation and ground truth', higher_is_better: true }, SA: { name: 'Sign Agreement', description: 'Fraction of top-K features with same sign in explanation and ground truth', higher_is_better: true }, SRA: { name: 'Signed Rank Agreement', description: 'Fraction of top-K features with same sign and rank in explanation and ground truth', higher_is_better: true }, RC: { name: 'Rank Correlation', description: 'Spearman rank correlation between explanation and ground truth rankings', higher_is_better: true }, PRA: { name: 'Pairwise Rank Agreement', description: 'Fraction of feature pairs with same relative ordering in explanation and ground truth', higher_is_better: true } } }; let result = []; if (metricType === 'all') { result = Object.entries(metrics).map(([category, categoryMetrics]) => ({ category, metrics: Object.entries(categoryMetrics).map(([key, value]) => ({ metric: key, ...value })) })); } else { const categoryMetrics = metrics[metricType]; if (categoryMetrics) { result = [{ category: metricType, metrics: Object.entries(categoryMetrics).map(([key, value]) => ({ metric: key, ...value })) }]; } } return { content: [ { type: 'text', text: `Available OpenXAI evaluation metrics:\n\n` + JSON.stringify(result, null, 2) } ] }; }
  • index.js:157-171 (registration)
    Registration of the 'list_metrics' tool in the ListToolsRequest handler, including name, description, and inputSchema.
    { name: 'list_metrics', description: 'List available evaluation metrics in OpenXAI', inputSchema: { type: 'object', properties: { metric_type: { type: 'string', description: 'Filter by metric type (faithfulness, stability, fairness)', enum: ['faithfulness', 'stability', 'fairness', 'all'] } }, required: [] } },
  • The inputSchema for the 'list_metrics' tool, defining optional metric_type parameter with enum ['faithfulness', 'stability', 'fairness', 'all']. Note: enum has 'fairness' but code uses 'ground_truth'; possible discrepancy.
    inputSchema: { type: 'object', properties: { metric_type: { type: 'string', description: 'Filter by metric type (faithfulness, stability, fairness)', enum: ['faithfulness', 'stability', 'fairness', 'all'] } }, required: []
  • The switch case dispatcher in CallToolRequestHandler that routes 'list_metrics' calls to the listMetrics method.
    case 'list_metrics': return await this.listMetrics(args.metric_type || 'all');

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