> ## Documentation Index
> Fetch the complete documentation index at: https://greatquestion.co/support/llms.txt
> Use this file to discover all available pages before exploring further.

# MCP: Best practices

> Get more reliable, efficient results from the Great Question MCP.

1. **Start broad, then narrow:** use list tools first, then search with specific filters.
2. **Chain queries:** get a study ID, then find its candidates, then retrieve their transcripts.
3. **Use full-text search:** most search tools support searching within titles, descriptions, and content.
4. **Leverage pagination:** for large result sets, use pagination to process data in batches.
5. **Combine filters:** most search tools accept multiple filters for precise results.
6. **Reach for templates before building from scratch:** search or list your saved templates first, then apply the one that fits instead of rebuilding a screener question by question.
7. **Let the AI chain writes:** describe what you want end-to-end (e.g., “set up a study with a screener and invite these candidates”) and let your AI tool handle the individual tool calls.

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