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SafeActBench finds evidence gaps before tool-using agents execute actions
Across ten model-harness configurations, agents often act before establishing required evidence, and multi-action workflows also miss prerequisites or steps; SafeActBench includes 656 cases across six operational domains. Its evidence ledger and trajectory evaluator provide concrete tools for testing agent action safety.
- What
- SafeActBench studies how tool-using agents establish evidence before changing external state.
- Method
- A provenance-bound Evidence Ledger and deterministic trajectory evaluator track established information, action timing, and downstream dependencies.
- Why it matters
- Agents can fail before execution by acting without required evidence, or later through unresolved prerequisites and incomplete workflows.
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