Minimally invasive endovascular surgery is increasingly becoming the technique of choice for a variety of procedures ranging from aneurysm repair to heart valve replacement. To guarantee the benefits of fewer complications and faster recovery times, among several others, it is necessary that surgeons acquire a strong proficiency in navigating flexible tools across sensitive anatomical structures. In addition to offline quantitative techniques for evaluating performance at the conclusion of a procedure, delivering performance measures online as feedback during training can ultimately provide the potential for improvements in surgical outcomes. This thesis evaluates a set of performance metrics calculated from direct tool tip motions provided by a commercial endovascular surgical simulator in their utility as online and offline measures. These metrics are compared to standard performance measures implemented on the simulator and to a gold-standard measure of movement smoothness used in prior motion studies. An online performance evaluation scenario demonstrates the general effectiveness of these metrics for further use as online performance measures for evaluation and feedback.