AgentSHAP: Unveiling LLM Agent Tool Importance with Shapley Values

Research#agent🔬 Research|Analyzed: Jan 10, 2026 11:26•
Published: Dec 14, 2025 08:31
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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.
Reference / Citation
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"AgentSHAP uses Monte Carlo Shapley value estimation."
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ArXivDec 14, 2025 08:31
* Cited for critical analysis under Article 32.
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Source: ArXiv