a. identifying the appropriate model or tool for the context; b. checking to see if the models underlying required assumptions are sufficiently satisfied; and c. identifying important differences between the model and the real-world context, and identifying how these differences affect qualitative and quantitative predictions.
Comparing your analysis with the author's arguments and articulating any differences or similarities in a precise manner.
Translating all of this into clear language that readers can easily understand.