AgentSHAP: Unveiling LLM Agent Tool Importance with Shapley Values
Published:Dec 14, 2025 08:31
•1 min read
•ArXiv
Analysis
This research paper introduces AgentSHAP, a method for understanding the contribution of different tools used by LLM agents. By employing Monte Carlo Shapley values, the paper offers a framework for interpreting agent behavior and identifying key tools.
Key Takeaways
Reference
“AgentSHAP uses Monte Carlo Shapley value estimation.”