Yes, doing it that way sort of goes beyond the standard A* and becomes more of a "build your own custom pathfinder toolbox" where you can insert any additional considerations you have in your specific problem domain. Sort of like how you can add different factors to a loss function in machine learning (like trying to minimize non-zero parameter count for LASSO in addition to minimizing mean squared error).