diff --git a/R/spark_read_bigquery.R b/R/spark_read_bigquery.R
index c2ffd62..025deae 100644
--- a/R/spark_read_bigquery.R
+++ b/R/spark_read_bigquery.R
@@ -28,7 +28,7 @@
 #' the service account will be used to interact with BigQuery and Google Cloud Storage (GCS).
 #' Defaults to \code{\link{default_service_account_key_file}}.
 #' @param additionalParameters
-#' \href{https://github.com/GoogleCloudDataproc/spark-bigquery-connector?tab=readme-ov-file#properties}{Additional Spark BigQuery connector options}.
+#' \href{https://github.com/GoogleCloudDataproc/spark-bigquery-connector?tab=readme-ov-file#properties}{List of additional Spark BigQuery connector options}.
 #' @param memory \code{logical} specifying whether data should be loaded eagerly into
 #' memory, i.e. whether the table should be cached. Note that eagerly caching prevents
 #' predicate pushdown (e.g. in conjunction with \code{\link[dplyr]{filter}}) and therefore
diff --git a/R/spark_write_bigquery.R b/R/spark_write_bigquery.R
index 9a292de..6d52c53 100644
--- a/R/spark_write_bigquery.R
+++ b/R/spark_write_bigquery.R
@@ -12,7 +12,7 @@
 #' with Google Cloud services. The use of service accounts is highly recommended. Specifically,
 #' the service account will be used to interact with BigQuery and Google Cloud Storage (GCS).
 #' @param additionalParameters
-#' \href{https://github.com/GoogleCloudDataproc/spark-bigquery-connector?tab=readme-ov-file#properties}{Additional Spark BigQuery connector options}.
+#' \href{https://github.com/GoogleCloudDataproc/spark-bigquery-connector?tab=readme-ov-file#properties}{List of additional Spark BigQuery connector options}.
 #' @param mode Specifies the behavior when data or table already exist. One of "overwrite",
 #' "append", "ignore" or "error" (default).
 #' @param ... Additional arguments passed to \code{\link[sparklyr]{spark_write_source}}.
diff --git a/man/spark_read_bigquery.Rd b/man/spark_read_bigquery.Rd
index d08c9a2..0f87e78 100644
--- a/man/spark_read_bigquery.Rd
+++ b/man/spark_read_bigquery.Rd
@@ -56,7 +56,7 @@ with Google Cloud services. The use of service accounts is highly recommended. S
 the service account will be used to interact with BigQuery and Google Cloud Storage (GCS).
 Defaults to \code{\link{default_service_account_key_file}}.}
 
-\item{additionalParameters}{\href{https://github.com/GoogleCloudDataproc/spark-bigquery-connector?tab=readme-ov-file#properties}{Additional Spark BigQuery connector options}.}
+\item{additionalParameters}{\href{https://github.com/GoogleCloudDataproc/spark-bigquery-connector?tab=readme-ov-file#properties}{List of additional Spark BigQuery connector options}.}
 
 \item{memory}{\code{logical} specifying whether data should be loaded eagerly into
 memory, i.e. whether the table should be cached. Note that eagerly caching prevents
diff --git a/man/spark_write_bigquery.Rd b/man/spark_write_bigquery.Rd
index 22f7712..2f52dac 100644
--- a/man/spark_write_bigquery.Rd
+++ b/man/spark_write_bigquery.Rd
@@ -29,7 +29,7 @@ Defaults to \code{default_project_id()}.}
 with Google Cloud services. The use of service accounts is highly recommended. Specifically,
 the service account will be used to interact with BigQuery and Google Cloud Storage (GCS).}
 
-\item{additionalParameters}{\href{https://github.com/GoogleCloudDataproc/spark-bigquery-connector?tab=readme-ov-file#properties}{Additional Spark BigQuery connector options}.}
+\item{additionalParameters}{\href{https://github.com/GoogleCloudDataproc/spark-bigquery-connector?tab=readme-ov-file#properties}{List of additional Spark BigQuery connector options}.}
 
 \item{mode}{Specifies the behavior when data or table already exist. One of "overwrite",
 "append", "ignore" or "error" (default).}
diff --git a/tests/testthat/test-read.R b/tests/testthat/test-read.R
index b1f87ef..6617b56 100644
--- a/tests/testthat/test-read.R
+++ b/tests/testthat/test-read.R
@@ -8,7 +8,8 @@ test_that("reading BigQuery tables works", {
     name = "shakespeare",
     projectId = "bigquery-public-data",
     datasetId = "samples",
-    tableId = "shakespeare"
+    tableId = "shakespeare",
+    additionalParameters = list(parentProject = default_project_id())
   )
   
   expect_equal(shakespeare %>% sparklyr::sdf_nrow(), 164656)
@@ -22,7 +23,8 @@ test_that("executing SQL queries works", {
   shakespeare <- spark_read_bigquery(
     sc,
     name = "shakespeare",
-    sqlQuery = "SELECT * FROM bigquery-public-data.samples.shakespeare"
+    sqlQuery = "SELECT * FROM bigquery-public-data.samples.shakespeare",
+    additionalParameters = list(parentProject = default_project_id())
   )
   
   expect_equal(shakespeare %>% sparklyr::sdf_nrow(), 164656)