---
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/app-review-analysis/use-cases/identify-bug-reports/openclaw
---
# How to Identify Bug Reports with OpenClaw

OpenClaw processes app reviews at scale with a systematic, batch-oriented approach that is ideal for regular monitoring cycles. Run sentiment analysis, feature request extraction, and bug report identification in sequence to produce a complete review intelligence report in one session. Its automated workflow is particularly effective for teams that want to establish a monthly or quarterly review analysis cadence without manual overhead.

## Setup

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

## Steps

1. Connect ToolRouter: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
2. Ask OpenClaw: "Extract bug reports from my app reviews"
3. OpenClaw identifies and categorizes user-reported bugs
4. Review the bugs ranked by impact and frequency
5. Add the highest-priority bugs to your fix queue

## Example Prompt

```
Find all bug reports in my app reviews. Tell me which ones affect the most users and which ones are causing the worst ratings.
```

## Tips

- Focus on bugs mentioned in recent reviews -- older bugs may already be fixed
- Look for device-specific or OS-version-specific patterns in bug reports
- Track bug mention frequency over time to verify fixes are working
