---
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/copilot
---
# How to Discover Hidden Gems with Copilot

Copilot is best when the hidden-gem shortlist needs to become a structured discovery document. Run `find_similar` and ask Copilot to format the result as a markdown table with discovery notes.

## Setup

{"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}

## Steps

1. Add ToolRouter to Copilot MCP config.
2. Set the seed title and quality floor before running.
3. Run `similar-movies.find_similar` and keep the score, reason, and vote fields intact.
4. Ask Copilot to build a markdown table with title, year, vote average, and a discovery note.
5. Save the table as a watchlist or editorial asset.

## Example Prompt

```
Use similar-movies to find films similar to Primer with a minimum vote average of 6.5. Return a markdown table with title, year, vote average, and a one-line note on why each film is worth discovering.
```

## Tips

- Keep the structured result fields for editorial or data reuse.
- A markdown table is easy to share or embed in a larger recommendation document.
- Set `page: 2` if the first result set is too well-known.
