diff --git a/R/autoplot.R b/R/autoplot.R
index 785f0a5e4..5ace8f2e0 100644
--- a/R/autoplot.R
+++ b/R/autoplot.R
@@ -34,6 +34,9 @@ autoplot.model_fit <- function(object, ...) {
 #' @rdname autoplot.model_fit
 autoplot.glmnet <- function(object, ..., min_penalty = 0, best_penalty = NULL,
                             top_n = 3L) {
+  check_number_decimal(min_penalty, min = 0, max = 1)
+  check_number_decimal(best_penalty, min = 0, max = 1, allow_null = TRUE)
+  check_number_whole(top_n, min = 1, max = Inf, allow_infinite = TRUE)
   autoplot_glmnet(object, min_penalty, best_penalty, top_n, ...)
 }
 
@@ -87,8 +90,6 @@ top_coefs <- function(x, top_n = 5) {
 }
 
 autoplot_glmnet <- function(x, min_penalty = 0, best_penalty = NULL, top_n = 3L, ...) {
-  check_penalty_value(min_penalty)
-
   tidy_coefs <-
     map_glmnet_coefs(x) %>%
     dplyr::filter(penalty >= min_penalty)
@@ -138,7 +139,6 @@ autoplot_glmnet <- function(x, min_penalty = 0, best_penalty = NULL, top_n = 3L,
   }
 
   if (!is.null(best_penalty)) {
-    check_penalty_value(best_penalty)
     p <- p + ggplot2::geom_vline(xintercept = best_penalty, lty = 3)
   }
 
@@ -159,13 +159,4 @@ autoplot_glmnet <- function(x, min_penalty = 0, best_penalty = NULL, top_n = 3L,
   p
 }
 
-check_penalty_value <- function(x) {
-  cl <- match.call()
-  arg_val <- as.character(cl$x)
-  if (!is.vector(x) || length(x) != 1 || !is.numeric(x) || x < 0) {
-    cli::cli_abort("{.arg {arg_val}} should be a single, non-negative value.")
-  }
-  invisible(x)
-}
-
 # nocov end
diff --git a/R/control_parsnip.R b/R/control_parsnip.R
index 52f6cbd29..bdb9aaeb1 100644
--- a/R/control_parsnip.R
+++ b/R/control_parsnip.R
@@ -37,12 +37,8 @@ check_control <- function(x, call = rlang::caller_env()) {
        and {.field catch}.",
       call = call
     )
-  # based on ?is.integer
-  int_check <- function(x, tol = .Machine$double.eps^0.5) abs(x - round(x)) < tol
-  if (!int_check(x$verbosity))
-    cli::cli_abort("{.arg verbosity} should be an integer.", call = call)
-  if (!is.logical(x$catch))
-    cli::cli_abort("{.arg catch} should be a logical.", call = call)
+  check_number_whole(x$verbosity, call = call)
+  check_bool(x$catch, call = call)
   x
 }
 
diff --git a/R/required_pkgs.R b/R/required_pkgs.R
index e025f7c01..56b709284 100644
--- a/R/required_pkgs.R
+++ b/R/required_pkgs.R
@@ -26,12 +26,14 @@ required_pkgs.model_spec <- function(x, infra = TRUE, ...) {
   if (is.null(x$engine)) {
     cli::cli_abort("Please set an engine.")
   }
+  check_bool(infra)
   get_pkgs(x, infra)
 }
 
 #' @export
 #' @rdname required_pkgs.model_spec
 required_pkgs.model_fit <- function(x, infra = TRUE, ...) {
+  check_bool(infra)
   get_pkgs(x$spec, infra)
 }
 
diff --git a/R/tidy_glmnet.R b/R/tidy_glmnet.R
index 59761ca68..55dd8e232 100644
--- a/R/tidy_glmnet.R
+++ b/R/tidy_glmnet.R
@@ -55,15 +55,9 @@ get_glmn_coefs <- function(x, penalty = 0.01) {
   res
 }
 
-tidy_glmnet <- function(x, penalty = NULL, ...) {
+tidy_glmnet <- function(x, penalty = NULL, ..., call = caller_env()) {
   check_installs(x$spec)
   load_libs(x$spec, quiet = TRUE, attach = TRUE)
-  if (is.null(penalty)) {
-    if (isTRUE(is.numeric(x$spec$args$penalty))){
-      penalty <- x$spec$args$penalty
-    } else {
-      rlang::abort("Please pick a single value of `penalty`.")
-    }
-  }
+  check_number_decimal(penalty, min = 0, max = 1, allow_null = TRUE, call = call)
   get_glmn_coefs(x$fit, penalty = penalty)
 }
diff --git a/R/tune_args.R b/R/tune_args.R
index dc4a4a607..a37e68fe9 100644
--- a/R/tune_args.R
+++ b/R/tune_args.R
@@ -56,9 +56,10 @@ tune_tbl <- function(name = character(),
                      source = character(),
                      component = character(),
                      component_id = character(),
-                     full = FALSE) {
-
+                     full = FALSE,
+                     call = caller_env()) {
 
+  check_bool(full, call = call)
   complete_id <- id[!is.na(id)]
   dups <- duplicated(complete_id)
   if (any(dups)) {