An amended characteristic. For AI systems, and especially probabilistic machine learning, correct results are not guaranteed in every circumstance, so a single accuracy figure is not enough. Both correct and incorrect outcomes have to be measured, with the error rate and the conditions stated. Correctness also trades against other qualities such as performance efficiency and robustness.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.