{
"event": "PreToolUse",
"tool_name": "mcp__mcp-tasks__tasks_result",
"tool_input": {
"id": 301,
"response": "Implementiert in analyze.py:\n- extract_statements(chunk_id, text, client) - SPO-Tripel Extraktion via LLM\n- find_entity_by_name(name) - Entity-Lookup via canonical_name\n- store_statements(chunk_id, statements) - DB-Speicherung mit Entity-Linking\n- analyze_chunk_statements(chunk_id, content, client) - Einzelchunk-Analyse\n- analyze_document_statements(document_id, client, progress) - Dokument-Analyse\n\nTest: 6 Statements aus Chunk 1 extrahiert.\nMCP-DB Whitelist: statements, provenance, pipeline_queue hinzugefügt.",
"executor": "claude",
"executor_type": "anthropic_api"
}
}
{
"tool_response": [
{
"type": "text",
"text": "{\n \"success\": true,\n \"result\": {\n \"id\": 266,\n \"task_id\": 301,\n \"executor\": \"claude\",\n \"executor_type\": \"anthropic_api\",\n \"model_name\": null,\n \"request\": null,\n \"response\": \"Implementiert in analyze.py:\\n- extract_statements(chunk_id, text, client) - SPO-Tripel Extraktion via LLM\\n- find_entity_by_name(name) - Entity-Lookup via canonical_name\\n- store_statements(chunk_id, statements) - DB-Speicherung mit Entity-Linking\\n- analyze_chunk_statements(chunk_id, content, client) - Einzelchunk-Analyse\\n- analyze_document_statements(document_id, client, progress) - Dokument-Analyse\\n\\nTest: 6 Statements aus Chunk 1 extrahiert.\\nMCP-DB Whitelist: statements, provenance, pipeline_queue hinzugefügt.\",\n \"status\": \"success\",\n \"error_message\": null,\n \"tokens_input\": 0,\n \"tokens_output\": 0,\n \"tokens_total\": 0,\n \"cost_usd\": 0.0,\n \"duration_ms\": 1,\n \"created_at\": \"2025-12-24T16:04:52.696835\"\n },\n \"message\": \"Result saved for Task #301\"\n}"
}
]
}