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Abstract: Stochastic thermodynamics has derived various bounds on work and entropy production (EP) that apply to a broad class of nonequilibrium processes. These bounds are typically achievable under idealized conditions, such as when arbitrary driving protocols can be employed. We derive bounds on the maximal extractable work and minimal EP which hold when there are constraints on the available driving protocols, including constraints on symmetries, modularity, and coarse-graining of the driving protocols. We also show that our approach can be used to decompose information acquired in a measurement of a system into "useful information" (which can be used to extract work from the system) and “useless information” (which cannot be used to extract work from the system).