This work evaluates AMR graph construction rules, originally developed for literary texts, in Portuguese news data to support building a symbolic AMR parser for this genre. Using the AMRNews-PT gold-standard corpus, we conduct an ablation analysis to assess rule contributions to AMR representation quality. The results reveal a hierarchical organization in which a small set of core structural rules drives most parsing performance, while additional rules provide finer semantic refinements. This rule hierarchy serves as the basis for building the parser and enabling the annotation of a larger news corpus.