diff --git a/docs/FunctionDescriptions.md b/docs/FunctionDescriptions.md
index 59ab572a8403595a60c374f95acb23a04fdb6ae8..66b78a567d5b87329f47880c1a38983b3f78dc0b 100644
--- a/docs/FunctionDescriptions.md
+++ b/docs/FunctionDescriptions.md
@@ -972,7 +972,7 @@ Interpolation of an inserted equidistant frequency grid of sampling rate `freq`.
     `"piecewise_polynomial"`, `"spline"`, `"pchip"`, `"akima"`.
 * Be careful with pd.Series.interpolate's `"nearest"` and `"pad"`:
       To just fill grid points forward/backward or from the nearest point - and
-      assign grid points, that refer to missing data, a nan value, the use of `"fshift"`, `"bshift"` and `"nearest_shift"` is
+      assign grid points, that refer to missing data, a nan value, the use of `harmonize_shift2Grid` function is
       recommended, to ensure getting the result expected. (The methods diverge in some 
       special cases and do not properly interpolate grid-only.).