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Spurious Tool Use: When RL Agents Learn the Wrong Reason to Act
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Research shows RL-trained language agents often select external tools based on superficial prompt cues rather than task logic.
OneBench interpretation
Institutional assessment
So what
RL-optimized financial agents may trigger unnecessary or incorrect external tools due to superficial prompt triggers, increasing risk and execution costs.
Do what
Review agent validation frameworks with the team responsible for model risk to account for spurious tool invocation.