[gov2001-l] Checking Balance with Interactions

I have a question about trying to achieve balance on variables and their interactions as we did on problem set 7, 1d - It seems intuitive to me that if you have only a few covariates and can achieve balance on all of the interactions between those you might well create two subsamples via matching that are more similar to one another than balancing only on the individual covariates without their interactions. However, if you put in all the interactions (treat~x1*x2*x3*x4*x5), then calculating standardized biases and this kind of thing becomes ridiculous - so what is recommended? Do we put in less, so that the balance can be more easily assessed, or do we put in more but still only assess the balance on the covariates and interesting interactions?