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@@ -39,6 +39,7 @@ Based on the PRD (docs/pinboard_mcp_server_prd.md), the system follows this desi
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- Load testing with k6 targeting 30 RPS
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- Never log Pinboard API tokens for security
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- All dates returned in ISO-8601 Zulu format
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- When introducing or upgrading dependencies, update the `pyproject.toml` file with the new version and run `poetry update` to update the lock file. Do a search online for appropriate version numbers rather than relying on your memory.
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## Virtual Environment
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The client implements a comprehensive search strategy designed to provide rich data for LLM analysis:
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1.**Tag-Based Search**: Uses `posts.all(tag=...)` to get ALL bookmarks with specific tags (most efficient)
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2.**Recent Search**: Uses `posts.recent(count=100)` for fast searches of latest content
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2.**Recent Search**: Uses `posts.recent(count=100)` for fast searches of latest content
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3.**Extended Search**: Uses `posts.all(fromdt=...)` with 6-month auto-expansion, up to 2-year manual lookback
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4.**Intelligent Optimization**: Automatically detects exact tag matches for efficient retrieval
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**Philosophy**: Be generous with data while respecting server resources. Tag-based searches are preferred for historical access, with time-based searches limited to reasonable ranges.
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**Available Tools**:
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-`search_bookmarks()` - Smart search with 6-month auto-expansion (up to 100 results)
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-`search_bookmarks_extended()` - Configurable 1-year default search (up to 200 results)
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-`search_bookmarks_extended()` - Configurable 1-year default search (up to 200 results)
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-`list_bookmarks_by_tags()` - ALL bookmarks with specific tags (up to 200 results) - **Most efficient for historical data**
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