IBM's JevAct adds a runtime check on LLM agent tool calls, raising Telecom success
Overview
IBM researchers introduce JevAct, a runtime check that sits between an LLM agent and its tools and verifies selected tool calls before they run.
Failed calls go back to the agent with feedback for revision. The paper reports that Opus 4.6's three-run success rate on the τ²-bench Telecom benchmark rose from 39.5% to 80.7%. The authors say the gain comes from the harness, since the models and tools were unchanged. They report smaller, mixed results on the airline benchmark.
Written by AI from the articles below · updated Oct 31, 11:22 AM ET
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elvis@omarsar0XIBM's JevAct adds a runtime decision gate to tool-using LLM agentsAIIBM researchers introduce JevAct, a runtime check that sits between an LLM agent and its tools and verifies selected tool calls before they run. Failed calls return to the agent with feedback for revision, and the paper reports that Opus 4.6's three-run success on τ²-bench Telecom rose from 39.5% to 80.7%. The authors say the gains come from the harness, since models and tools were left unchanged, and airline results were smaller and mixed.

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