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Where should the execution boundary actually live in Agent systems?

Reddit r/artificial / 3/22/2026

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Key Points

  • Most control happens after execution (retries, state checks, monitoring, and idempotency patches), while the actual decision to execute is often implicit.
  • In many systems, capability (can call) and authority (allowed to execute) are separated, but agents tend to collapse these into a single notion.
  • The core question is where the allow/deny decision should live: inside the agent loop, inside tool wrappers, a centralized policy layer, or somewhere else.
  • Whatever the choice, it affects safety, governance, and composability of agent systems, and there is no consensus yet.
  • The post invites ongoing discussion about where the execution boundary should reside in agent architectures.

following up on a discussion from earlier

a pattern that keeps showing up in real systems:

most control happens after execution

- retries

- state checks

- monitoring

- idempotency patches

but the actual decision to execute is often implicit

if the agent can call the tool, the action runs

in most other systems we separate:

- capability (can call)

- authority (allowed to execute)

agents usually collapse those into one

so the question becomes:

where should the actual allow/deny decision live?

- inside the agent loop?

- inside tool wrappers?

- as a centralized policy layer?

- somewhere else entirely?

or are we all still letting the agent decide and patching things after the fact?

submitted by /u/docybo
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