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  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.