How to Identify Bug Reports with OpenClaw
Bug report extraction with OpenClaw and ToolRouter. Find issues hidden in app reviews.
Tool
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.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the App Review Analysis tool:
- Ask OpenClaw: "Extract bug reports from my app reviews"
- OpenClaw identifies and categorizes user-reported bugs
- Review the bugs ranked by impact and frequency
- Add the highest-priority bugs to your fix queue
Example Prompt
Try this with OpenClaw using the App Review Analysis tool
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