There should only be (at most) one non-stationary trend model and one stationary trend model. Multiple seasonal models are okay, as long as the seasonal periods are different. The shorter and more "boring" your data, the fewer state models you should have. E.g. you could have a local linear trend plus an AR, but in the airline data (for example) that's probably asking for trouble.
From Steven Scott: