search_captures
Search journal entries by concept, keyword, or phrase across all template types to find notes, recall information, or explore topics using natural language queries.
Instructions
Search all journal entries by concept, keyword, or phrase — across every
template type (RC, SYN, REV, DC) at once.
This is the primary way to find entries by idea rather than tag. Use it
whenever the user asks to find notes, recall something they wrote, or
explore a topic. Natural language queries work well.
Examples:
"neural networks" → entries mentioning neural networks
"why does attention" → entries with that question or phrase
"spaced repetition" → concept search across all templates
"dream flying" → DC entries with flying imagery
Args:
query: The concept, keyword, or phrase to search for.
tag_filter: Optional tag value to narrow results (e.g. "machine-learning").
date_from: Optional ISO date lower bound (e.g. "2025-09-01").
date_to: Optional ISO date upper bound (e.g. "2025-12-31").
Note: search matches terms that appear in the journal text. For tag-only
browsing without a text query, use list_by_tag instead.Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| tag_filter | No | ||
| date_from | No | ||
| date_to | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |