{
"event": "PreToolUse",
"tool_name": "mcp__mcp-db__db_select",
"tool_input": {
"query": "SELECT * FROM pipeline_runs WHERE id = 9",
"database": "ki_content"
}
}
{
"tool_response": [
{
"type": "text",
"text": "{\n \"status\": \"success\",\n \"data\": [\n {\n \"id\": 9,\n \"pipeline_id\": 2,\n \"status\": \"completed\",\n \"started_at\": \"2025-12-23T05:18:38\",\n \"completed_at\": \"2025-12-23T05:18:43\",\n \"documents_total\": 0,\n \"documents_processed\": 0,\n \"documents_failed\": 0,\n \"chunks_created\": 0,\n \"embeddings_created\": 0,\n \"error_log\": null,\n \"current_step\": null,\n \"current_document\": null,\n \"last_update_at\": \"2025-12-23T05:18:43\",\n \"log_tail\": \"[05:18:38] Scanne nach Dokumenten...\\n[05:18:39] 0 neue Dokumente gefunden\\n[05:18:39] Keine neuen Dokumente gefunden\\n[05:18:39] Verarbeite ausstehende Embeddings...\\n[05:18:43] 100 weitere Embeddings erstellt\\n[05:18:43] Pipeline erfolgreich abgeschlossen\",\n \"created_at\": \"2025-12-23T05:18:38\"\n }\n ],\n \"row_count\": 1,\n \"error\": null,\n \"execution_ms\": 0\n}"
}
]
}