We present a reevaluation of EISCAT plasma parameters during the May 2024 geomagnetic storm, applying the ion composition from an AMIE-driven SD-WACCM-X simulation instead of the standard IRI model. This resulted in significant deviations of F1 region electron densities (up to 15 %), electron temperature (40 %), and ion temperatures (30 %) from the original analysis. Basic correlations of plasma parameter deviations and differences in ion composition indicate the possibility of deriving a correction model if the presented approach is extended to a large measurement database. Parameter uncertainties are also shown to be affected by the reevaluation (5 % – 10 %), and the general relations of parameter uncertainty, ion composition differences, and absolute ion composition profiles are investigated. It is shown that in the F1 region, the plasma parameter deviations are notably larger than the uncertainty range. Incorrect assumptions about the ion composition can have a significant impact on the accuracy of ISR measurements, and that has important consequences for the possible application of ISR data in data assimilation. Advantages and disadvantages compared to previously presented approaches regarding the ion composition issue are discussed. The main advantage of the presented method is that the physics-based background enables debiasing of EISCAT plasma parameters from standard analysis.