---
title: ToolRouter — Agent Use Case Guide
description: Step-by-step guide for completing a task with a specific AI agent using ToolRouter.
url: https://toolrouter.com/tools/deep-research/use-cases/research-best-practices/copilot
---
# How to Research Best Practices with Copilot

Copilot puts deep research capabilities inside your IDE for the moments when building requires understanding something new. Research technical architectures, regulatory requirements, API ecosystems, or competitive landscapes without leaving your editor, then incorporate findings directly into architecture decision records, design documents, or technical specifications. This is especially valuable when you hit a knowledge gap mid-implementation and need comprehensive context fast rather than a shallow search result.

## Setup

{"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}

## Steps

1. Add ToolRouter to Copilot MCP config
2. Ask: "Research best practices for [engineering/development topic] using deep-research"
3. Review the best practices analysis inline
4. Ask Copilot to implement the recommended practices in your codebase
5. Apply best practices directly to your project configuration and code

## Example Prompt

```
Research best practices for API rate limiting. What approaches do high-traffic services use, and what are the implementation trade-offs?
```

## Tips

- Copilot can implement best practices directly in your code after research
- Great for adopting security, testing, and DevOps best practices with evidence
- Use research to justify technical decisions with data-backed recommendations
