---
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/wikipedia-lookup/use-cases/research-topic-background/openclaw
---
# How to Research Topic Background with OpenClaw

OpenClaw uses Wikipedia as a structured data extraction engine for teams that need reference information at scale. Batch-query entities, compile comparison datasets across dozens of topics, and build knowledge bases from Wikipedia content in a single systematic session. The structured output -- with consistent fields, formatting, and attribution -- is ready for direct import into internal wikis, training materials, application seed data, or research databases without the manual reformatting that ad-hoc lookups require.

## Setup

openclaw mcp add toolrouter -- npx -y toolrouter-mcp

## Steps

1. Connect ToolRouter: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
2. Ask OpenClaw: "Research the background of renewable energy using wikipedia-lookup"
3. OpenClaw retrieves the Wikipedia overview
4. Request: "Give me more detail on solar energy specifically"
5. Use the research as a foundation for your work

## Example Prompt

```
I need to understand the background of machine learning for a project proposal. Research it using wikipedia-lookup.
```

## Tips

- Start broad with the main topic, then drill into subtopics
- Ask for key terms and definitions alongside the overview
- Use search to find related articles that might provide additional context
