50 lines
1.5 KiB
Markdown
50 lines
1.5 KiB
Markdown
---
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name: core-actionbook
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# Internal tool - no description to prevent auto-triggering
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# Used by: rust-learner agents for pre-computed selectors
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---
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# Actionbook
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Pre-computed action manuals for browser automation. Agents receive structured page information instead of parsing entire HTML.
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## Workflow
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1. **search_actions** - Search by keyword, returns URL-based action IDs with content previews
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2. **get_action_by_id** - Get full action manual with page details, DOM structure, and element selectors
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3. **Execute** - Use returned selectors with your browser automation tool
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## MCP Tools
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- `search_actions` - Search by keyword. Returns: URL-based action IDs, content previews, relevance scores
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- `get_action_by_id` - Get full action details. Returns: action content, page element selectors (CSS/XPath), element types, allowed methods (click, type, extract), document metadata
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### Parameters
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**search_actions**:
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- `query` (required): Search keyword (e.g., "airbnb search", "google login")
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- `type`: `vector` | `fulltext` | `hybrid` (default)
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- `limit`: Max results (default: 5)
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- `sourceIds`: Filter by source IDs (comma-separated)
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- `minScore`: Minimum relevance score (0-1)
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**get_action_by_id**:
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- `id` (required): URL-based action ID (e.g., `example.com/page`)
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## Example Response
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```json
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{
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"title": "Airbnb Search",
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"url": "www.airbnb.com/search",
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"elements": [
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{
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"name": "location_input",
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"selector": "input[data-testid='structured-search-input-field-query']",
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"type": "textbox",
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"methods": ["type", "fill"]
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}
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]
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}
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```
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