---
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/similar-movies/use-cases/discover-hidden-gems-from-a-cult-classic/openclaw
---
# How to Discover Hidden Gems with OpenClaw

OpenClaw is ideal for recurring hidden-gem discovery across many seed films. Use `find_similar` to keep the schema normalized so shortlists can be compared across different cult classics.

## Setup

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

## Steps

1. Connect ToolRouter in OpenClaw: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
2. Define the seed, quality floor, and output size before running.
3. Run `similar-movies.find_similar` and normalize the result fields across seed films.
4. Compare shortlists from different cult classics to find consistent hidden gems.
5. Store the normalized output for editorial or personalization workflows.

## Example Prompt

```
Use similar-movies to find films similar to Primer with a minimum vote average of 6.5. Keep the output normalized so I can compare hidden-gem shortlists across multiple cult classic seeds.
```

## Tips

- Normalize quality thresholds across runs for fair comparison.
- Use the same page depth across seeds when comparing shortlists.
- The reason field is the key signal for distinguishing genuinely underrated picks.
