Skip to main content
Glama

robustness_guide

Assess model robustness by evaluating alternative specifications and conducting sensitivity analysis to validate research findings.

Instructions

강건성 검정 가이드 (대안모형, 민감도분석)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
main_analysisYes주 분석 방법
concernsNo우려사항

Implementation Reference

  • Registration of the 'robustness_guide' tool, including its name, description, and input schema definition.
    name: "robustness_guide", description: "강건성 검정 가이드 (대안모형, 민감도분석)", inputSchema: { type: "object", properties: { main_analysis: { type: "string", description: "주 분석 방법" }, concerns: { type: "array", items: { type: "string" }, description: "우려사항" }, }, required: ["main_analysis"], }, },
  • The handler function `handleRobustnessGuide` that executes the tool logic, returning recommended robustness checks based on the main analysis.
    function handleRobustnessGuide(args: Record<string, unknown>) { return { main_analysis: args.main_analysis, robustness_checks: [ "Alternative specifications (different controls)", "Different estimation methods", "Sample restrictions (outliers, subgroups)", "Alternative measures of key variables", "Placebo tests" ] }; }
  • Tool registration in the main switch statement of `handleToolCall` function, mapping the tool name to its handler.
    case "robustness_guide": return handleRobustnessGuide(args);

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/seanshin0214/quantmaster-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server