---
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/address-geocoding/use-cases/find-locations-from-descriptions/openclaw
---
# How to Find Locations from Descriptions with OpenClaw

OpenClaw resolves informal place descriptions to coordinates in batch, processing lists of landmarks, neighborhoods, and partial addresses with confidence scoring for each match. Build location databases from venue lists, geocode event data where locations are described by name, and create point-of-interest datasets from unstructured location references.

## Setup

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

## Steps

1. Connect ToolRouter: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
2. Ask OpenClaw: "Find the coordinates for this place" and describe the location
3. OpenClaw returns the best-match coordinates and address
4. Use the coordinates in your application or analysis

## Example Prompt

```
Find the exact coordinates for "Shibuya Crossing, Tokyo" and "Brandenburg Gate, Berlin".
```

## Tips

- Include the country for place names that exist in multiple countries
- Check the confidence score -- area-level matches are less precise than building-level ones
