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The Gate Counts the Cost of Being Wrong

In simulation, routing tool calls by consequence, reversibility, ambiguity and evidence freshness cut harmful-side-effect trajectories from 14.75 to 7.02 percent at equal compute cost.

Published Updated Story ID: mp-2026-10-28-001
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Summary

In simulation, routing tool calls by consequence, reversibility, ambiguity and evidence freshness cut harmful-side-effect trajectories from 14.75 to 7.02 percent at equal compute cost.

Runtime safeguards for tool-using agents often ask only how uncertain a proposed action looks. CASEL instead assigns each call to direct execution, verification, sandboxing, clarification, approval or abstention by combining calibrated failure probability with state-dependent consequence, reversibility, ambiguity and evidence freshness. Across 20 simulated seeds with 120,000 test actions each, its allocation policy reduced harmful-side-effect trajectories from 14.75 percent under an uncertainty-ranked gate to 7.02 percent and lowered normalized harm from 0.184 to 0.123 at the same compute cost. A simpler probability-times-consequence ranker reached similar harm but sent 45 percent more actions to human approval. These results compare policies inside a controlled simulator whose intervention effectiveness is assumed, not measured; they do not establish deployment performance.

Why it matters

In simulation, routing tool calls by consequence, reversibility, ambiguity and evidence freshness cut harmful-side-effect trajectories from 14.75 to 7.02 percent at equal compute cost.

Limits and context

  • Runtime safeguards for tool-using agents often ask only how uncertain a proposed action looks.
  • These results compare policies inside a controlled simulator whose intervention effectiveness is assumed, not measured; they do not establish deployment performance.

Key claims

  1. In simulation, routing tool calls by consequence, reversibility, ambiguity and evidence freshness cut harmful-side-effect trajectories from 14.75 to 7.02 percent at equal compute cost.

    Qualification: Runtime safeguards for tool-using agents often ask only how uncertain a proposed action looks.

    Evidence: source-2026-10-28-001

Sources

  1. arXiv preprint 2610.36570, original v1arXiv · primary research

Corrections

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