Natural-Language Permission Verification in Multi-Agent Delegation

As AI agents increasingly delegate tasks to other agents, permission scopes are often expressed informally in natural language rather than as strict machine-readable policies. This research investigates how a delegated action can be automatically checked against the natural-language permissions granted upstream, so that a multi-agent system can catch privilege escalation and out-of-scope actions before they execute rather than after the fact.