{
  "video_id": "9f392d0a7d7ff51f",
  "channel": "export-arxiv-org-rss-cs-ai",
  "title": "Contract2Tool: Learning Preconditions and Effects for Reliable Tool-Augmented LLM Agents",
  "scores": {
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  "verdict": "promote",
  "one_line_reason": "Stark relevantes Multi-Agent-Problem (Tool-Preconditions/Effects-Learning) mit neuem Framework, rigorosem Eval und direkter Anwendbarkeit auf Aria-Observability & Cost-Optimierung; substanzielle Architektur-Innovation ohne Hype.",
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  "triaged_at": "2026-06-09T15:02:46.709243+00:00"
}