@cyanheads/pubmed-mcp-server/dist/utils/internal/performance.d.ts

Production-ready PubMed Model Context Protocol (MCP) server that empowers AI agents and research tools with comprehensive access to PubMed's article database. Enables advanced, automated LLM workflows for searching, retrieving, analyzing, and visualizing

/**
 * @fileoverview Provides a utility for performance monitoring of tool execution.
 * This module introduces a higher-order function to wrap tool logic, measure its
 * execution time, and log a structured metrics event.
 * @module src/utils/internal/performance
 */
import { RequestContext } from "./requestContext.js";
/**
 * A higher-order function that wraps a tool's core logic to measure its performance
 * and log a structured metrics event upon completion.
 *
 * @template T The expected return type of the tool's logic function.
 * @param toolLogicFn - The asynchronous tool logic function to be executed and measured.
 * @param context - The request context for the operation, used for logging and tracing.
 * @param inputPayload - The input payload to the tool for size calculation.
 * @returns A promise that resolves with the result of the tool logic function.
 * @throws Re-throws any error caught from the tool logic function after logging the failure.
 */
export declare function measureToolExecution<T>(toolLogicFn: () => Promise<T>, context: RequestContext & {
    toolName: string;
}, inputPayload: unknown): Promise<T>;
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