---
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/nobel-prizes/use-cases/build-educational-content/openclaw
---
# How to Build Nobel Prize Educational Content with OpenClaw

OpenClaw processes Nobel Prize queries as structured data operations, returning laureate records, prize metadata, and historical datasets in clean formats suitable for database population, automated reporting pipelines, or batch analysis workflows. It handles broad historical queries across all categories and time periods efficiently, making it practical to build comprehensive Nobel Prize reference tools, educational content libraries, or research dashboards that need access to the complete award history.

## Setup

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

## Steps

1. Connect ToolRouter: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
2. Ask OpenClaw: "Get Nobel Prize data for all categories from 2020 to 2025"
3. OpenClaw returns recent prize data with motivations and laureates
4. Ask: "Create a summary sheet of recent breakthroughs for classroom use"

## Example Prompt

```
Get all recent Nobel Prizes and create a one-page summary suitable for posting in a science classroom.
```

## Tips

- Focus on recent prizes for maximum student relevance
- Ask for age-appropriate explanations of the research behind each prize
- Build a reference wall by generating summaries for each category
