diff --git a/R/did_you_mean.R b/R/did_you_mean.R
index c4acad1e..7d04053d 100644
--- a/R/did_you_mean.R
+++ b/R/did_you_mean.R
@@ -21,18 +21,20 @@ did_you_mean = function(str, candidates) {
   sprintf(" Did you mean %s?", str_collapse(suggestions, quote = "'", sep = " / "))
 }
 
-#' @title Suggest Alternatives from Given Dictionaries
-#'
-#' @description
-#' Helps to suggest alternatives for a given key based on the keys of given dictionaries.
-#'
-#' @param key (`character(1)`) \cr
-#'   Key to look for in `dicts`.
-#' @param dicts (named list)\cr
-#'   Named list of [dictionaries][Dictionary].
-#' @return (`character(1)`). Either a phrase suggesting one or more keys based on the dictionaries in `dicts`,
-#'   or an empty string if no close match is found.
-did_you_mean_dicts = function(key, dicts) {
+# @title Suggest Alternatives from Given Dictionaries
+#
+# @description
+# Helps to suggest alternatives for a given key based on the keys of given dictionaries.
+#
+# @param key (`character(1)`) \cr
+#   Key to look for in `dicts`.
+# @param dicts (named list)\cr
+#   Named list of [dictionaries][Dictionary].
+# @param max_candidates_dicts (`integer(1)`) \cr
+#   Maximum number of dictionaries for which suggestions are outputted.
+# @return (`character(1)`). Either a phrase suggesting one or more keys based on the dictionaries in `dicts`,
+#   or an empty string if no close match is found.
+did_you_mean_dicts = function(key, dicts, max_candidates_dicts = 3L) {
   # No message if no dictionaries are given
   if (is.null(dicts)) {
     return("")
@@ -50,40 +52,43 @@ did_you_mean_dicts = function(key, dicts) {
     if (!length(entries)) {
       next
     }
+
     # Record the closest distance
     min_distance_per_dict[[length(min_distance_per_dict) + 1]] = min(distances)
 
     # Create a suggestion message for the current dictionary
-    suggestions[[length(suggestions) + 1]] = sprintf("%s: %s", names(dicts)[[i]],
-                               str_collapse(entries, quote = "'", sep = " / "))
+    suggestions[[length(suggestions) + 1]] = sprintf(
+      "%s: %s", names(dicts)[[i]], str_collapse(entries, quote = "'", sep = " / ")
+    )
   }
 
   # Order the suggestions by their closest match
   suggestions = suggestions[order(min_distance_per_dict)]
   # Only show the 3 dictionaries with the best matches
-  valid_suggestions = head(valid_suggestions, 3L)
+  suggestions = head(suggestions, max_candidates_dicts)
 
   # If no valid suggestions, return an empty string
-  if (!length(valid_suggestions)) {
+  if (!length(suggestions)) {
     return("")
   }
 
-  sprintf("\nSimilar entries in other dictionaries, %s.", str_collapse(valid_suggestions, sep = ", or "))
+  # add \n
+  sprintf("\nSimilar entries in other dictionaries:\n  %s", str_collapse(suggestions, sep = "\n  "))
 }
 
-#' @title Find Suggestions
-#'
-#' @param str (`character(1)`)\cr
-#'   String.
-#' @param candidates (`character()`)\cr
-#'   Candidate strings.
-#' @param threshold (`numeric(1)`)\cr
-#'   Percentage value of characters when sorting `candidates` by distance
-#' @param max_candidates (`integer(1)`)\cr
-#'   Maximum number of candidates to return.
-#' @param ret_similarity (`logical(1)`)\cr
-#'   Return similarity values instead of names.
-#' @return (`character(1)`). Either suggested candidates from `candidates` or an empty string if no close match is found.
+# @title Find Suggestions
+#
+# @param str (`character(1)`)\cr
+#   String.
+# @param candidates (`character()`)\cr
+#   Candidate strings.
+# @param threshold (`numeric(1)`)\cr
+#   Percentage value of characters when sorting `candidates` by distance
+# @param max_candidates (`integer(1)`)\cr
+#   Maximum number of candidates to return.
+# @param ret_similarity (`logical(1)`)\cr
+#   Return similarity values instead of names.
+# @return (`character(1)`). Either suggested candidates from `candidates` or an empty string if no close match is found.
 find_suggestions = function(str, candidates, threshold = 0.2, max_candidates = 3L, ret_distances = FALSE) {
   candidates = unique(candidates)
   D = set_names(adist(str, candidates, ignore.case = TRUE, partial = TRUE)[1L, ], candidates)