Agent systems fail when they confuse literal instructions with actual intent. Bridging that gap requires more than a better model. It requires a coordination layer that keeps goals, constraints, and available actions in sync.
Intent is not a single prompt
Users usually express intent across multiple signals: the current task, prior actions, system rules, and environmental context. ACP helps agents interpret those signals as a coherent objective instead of isolated text.
That shift is important because real workflows unfold over time, not in one perfect instruction.
Tool contracts create safer execution
Alliance-style coordination works best when tools expose clear contracts. The agent needs to know what a tool can do, what data it expects, and which side effects are allowed before it takes action.
Well-defined contracts reduce guesswork and make agent behavior easier to audit.
Alignment is a systems problem
Good agent experiences come from orchestration, not just inference. Memory, tool routing, approvals, and rollback mechanisms all contribute to whether a system feels trustworthy.
If you want agents to understand what users actually want, you have to design the workflow around that question from the start.