{
"event": "PreToolUse",
"tool_name": "Bash",
"tool_input": {
"command": "curl -s \"http:\/\/localhost:6333\/collections\/documents\/points\/scroll\" -H \"Content-Type: application\/json\" -d '{\"limit\": 5, \"filter\": {\"must\": [{\"key\": \"document_id\", \"match\": {\"value\": 12}}]}, \"with_payload\": true}' | python3 -c \"import sys,json; d=json.load(sys.stdin); print(f'Total points for doc 12: found {len(d.get(\\\"result\\\",{}).get(\\\"points\\\",[]))} in this batch'); [print(f' - {p[\\\"payload\\\"].get(\\\"document_title\\\",\\\"?\\\")} chunk {p[\\\"payload\\\"].get(\\\"chunk_index\\\",\\\"?\\\")}') for p in d.get('result',{}).get('points',[])[:3]]\"",
"description": "Check Qdrant embeddings for document 12"
}
}
{
"tool_response": {
"stdout": "Total points for doc 12: found 5 in this batch\n - Booklet_SystemikFragen_RELAUNCH2026.pdf chunk 85\n - Booklet_SystemikFragen_RELAUNCH2026.pdf chunk 112\n - Booklet_SystemikFragen_RELAUNCH2026.pdf chunk 46",
"stderr": "",
"interrupted": false,
"isImage": false
}
}