diff --git a/R/tailor.R b/R/tailor.R
index 8932a47..49a6ef9 100644
--- a/R/tailor.R
+++ b/R/tailor.R
@@ -18,15 +18,22 @@
 #' with the [tidymodels](https://tidymodels.org) framework; for greatest ease
 #' of use, situate tailors in model workflows with [workflows::add_tailor()].
 #'
-#' @param type The model sub-type. Possible values are `"unknown"`, `"regression"`,
-#' `"binary"`, or `"multiclass"`.
-#' @param outcome The name of the outcome variable.
-#' @param estimate The name of the point estimate (e.g. predicted class). In
-#' tidymodels, this corresponds to column names `.pred`, `.pred_class`, or
-#' `.pred_time`.
-#' @param probabilities The names of class probability estimates (if any). For
-#' classification, these should be given in the order of the factor levels of
-#' the `estimate`.
+#' @param type Character. The model sub-mode. Possible values are
+#' `"unknown"`, `"regression"`, `"binary"`, or `"multiclass"`. Only required
+#' when used independently of [workflows::add_tailor()].
+#' @param outcome <[`tidy-select`][dplyr::dplyr_tidy_select]> Only required
+#' when used independently of [workflows::add_tailor()], and can also be passed
+#' at `fit()` time instead. The column name of the outcome variable.
+#' @param estimate <[`tidy-select`][dplyr::dplyr_tidy_select]> Only required
+#' when used independently of [workflows::add_tailor()], and can also be passed
+#' at `fit()` time instead. The column name of the point estimate (e.g. predicted
+#' class), In tidymodels, this corresponds to column names `.pred`,
+#' `.pred_class`, or `.pred_time`.
+#' @param probabilities <[`tidy-select`][dplyr::dplyr_tidy_select]> Only required
+#' when used independently of [workflows::add_tailor()] for the `"binary"` or
+#' `"multiclass"` types, and can also be passed at `fit()` time instead.
+#' The column names of class probability estimates. These should be given in
+#' the order of the factor levels of the `estimate`.
 #' @examplesIf rlang::is_installed("modeldata")
 #' library(modeldata)
 #'
diff --git a/man/tailor.Rd b/man/tailor.Rd
index 0f1158d..63c7f7d 100644
--- a/man/tailor.Rd
+++ b/man/tailor.Rd
@@ -7,18 +7,25 @@
 tailor(type = "unknown", outcome = NULL, estimate = NULL, probabilities = NULL)
 }
 \arguments{
-\item{type}{The model sub-type. Possible values are \code{"unknown"}, \code{"regression"},
-\code{"binary"}, or \code{"multiclass"}.}
+\item{type}{Character. The model sub-mode. Possible values are
+\code{"unknown"}, \code{"regression"}, \code{"binary"}, or \code{"multiclass"}. Only required
+when used independently of \code{\link[workflows:add_tailor]{workflows::add_tailor()}}.}
 
-\item{outcome}{The name of the outcome variable.}
+\item{outcome}{<\code{\link[dplyr:dplyr_tidy_select]{tidy-select}}> Only required
+when used independently of \code{\link[workflows:add_tailor]{workflows::add_tailor()}}, and can also be passed
+at \code{fit()} time instead. The column name of the outcome variable.}
 
-\item{estimate}{The name of the point estimate (e.g. predicted class). In
-tidymodels, this corresponds to column names \code{.pred}, \code{.pred_class}, or
-\code{.pred_time}.}
+\item{estimate}{<\code{\link[dplyr:dplyr_tidy_select]{tidy-select}}> Only required
+when used independently of \code{\link[workflows:add_tailor]{workflows::add_tailor()}}, and can also be passed
+at \code{fit()} time instead. The column name of the point estimate (e.g. predicted
+class), In tidymodels, this corresponds to column names \code{.pred},
+\code{.pred_class}, or \code{.pred_time}.}
 
-\item{probabilities}{The names of class probability estimates (if any). For
-classification, these should be given in the order of the factor levels of
-the \code{estimate}.}
+\item{probabilities}{<\code{\link[dplyr:dplyr_tidy_select]{tidy-select}}> Only required
+when used independently of \code{\link[workflows:add_tailor]{workflows::add_tailor()}} for the \code{"binary"} or
+\code{"multiclass"} types, and can also be passed at \code{fit()} time instead.
+The column names of class probability estimates. These should be given in
+the order of the factor levels of the \code{estimate}.}
 }
 \description{
 Tailors compose iterative adjustments to model predictions. After