diff --git a/NEWS.md b/NEWS.md
index 5b8780a7f..cc84f1cfb 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -38,6 +38,7 @@ The update introduces breaking changes. If you want to keep using the older vers
 - Files ending in ".Rda" were renamed to ".rds" where appropriate when used together with `saveRDS()` or `readRDS()`.
 - `score()` now calls `na.omit()` on the data, instead of only removing rows with missing values in the columns `observed` and `predicted`. This is because `NA` values in other columns can also mess up e.g. grouping of forecasts according to the unit of a single forecast. 
 - added documentation for the return value of `summarise_scores()`.
+- Added unit tests for `interval_coverage_quantile()` and `interval_coverage_dev_quantile()` in order to make sure that the functions provide the correct warnings when insufficient quantiles are provided.
 
 # scoringutils 1.2.2
 
diff --git a/tests/testthat/test-metrics-quantile.R b/tests/testthat/test-metrics-quantile.R
index b941a95aa..a6faf051c 100644
--- a/tests/testthat/test-metrics-quantile.R
+++ b/tests/testthat/test-metrics-quantile.R
@@ -601,6 +601,17 @@ test_that("interval_coverage_quantile rejects wrong inputs", {
   )
 })
 
+test_that("interval_coverage_quantile throws a warning when a required quantile is not available", {
+  dropped_quantile_pred <- predicted[, -4]
+  dropped_quantiles <- quantile[-4]
+  expect_warning(
+    interval_coverage_quantile(
+      observed, dropped_quantile_pred, dropped_quantiles, range = 50
+    ),
+    "To compute the interval coverage for a range of 50%, the quantiles `0.25, 0.75` are required. Returning `NA`"
+  )
+})
+
 
 # ============================================================================ #
 # `interval_coverage_dev_quantile` ===================================== #
@@ -617,6 +628,12 @@ test_that("interval_coverage_dev_quantile works", {
     interval_coverage_dev_quantile(observed, predicted, quantile),
     manual
   )
+  expect_warning(
+    interval_coverage_dev_quantile(
+      observed, predicted, c(quantile[-4], 0.76)
+    ),
+    "To compute inteval coverage deviation, all quantiles must form central symmetric prediction intervals. Missing quantiles: 0.24, 0.75. Returning `NA`."
+  )
 })