The study reframes agent reliability around the information environment surrounding the model. Missing state, stale instructions and poorly structured task history can cause agents to fail even when the underlying model is capable.
That diagnosis matches what many developers see in production. Better context engineering, logging and state management may be as important as swapping in a stronger model.