Our research focuses on how new computational tools and design methods can support the design process of masonry buildings. Specifically we discuss the potential of parametric modeling technologies to promote innovation by embedding knowledge on masonry construction as both generative rules and checker functions. Their goal is to inform designers on the feasibility of their intents on early stages of the design process. For this purpose we will adopt a methodology and notation called Building Object Behavior (BOB) to identify and translate construction knowledge towards the implementation of masonry parametric objects. A curved masonry wall is used as case study for the development of several parametric prototypes and their possible implications for collaboration are discussed.