Using aws emr add-steps for spark-submit - hadoop-yarn

Question

We have a complicated spark-submit command that we would like to submit to AWS EMR using the aws emr add-steps CLI command. We are having trouble figuring out the correct syntax to use. For example, consider the example command from Apache's Running Spark on YARN page:
$ ./bin/spark-submit --class my.main.Class \
--master yarn \
--deploy-mode cluster \
--jars my-other-jar.jar,my-other-other-jar.jar \
my-main-jar.jar \
app_arg1 app_arg2
Following the guidance from this EMR command-runner page, we created something like this:
$ aws emr add-steps\
--cluster-id j-123456789 \
--steps Type=CUSTOM_JAR,Name='Test_Job',Jar='command-runner.jar',ActionOnFailure=CONTINUE,Args=[\
./bin/spark-submit,\
--class,my.main.Class,\
--master,yarn,\
--deploy-mode cluster,\
--jars,my-other-jar.jar,my-other-other-jar.jar,my-main-jar.jar,app_arg1,app_arg2]
However, due to the apparent parsing at commas, the command appears to only associate --jars with "my-other-jar", whereas "my-other-other-jar" is not. I'm hoping somebody can tell us the proper syntax to use. For example, should we use --jars for each extra jar, like:
--jars,my-other-jar.jar,--jars,my-other-other-jar.jar
or maybe there is some special list syntax, e.g.,
--jars,[my-other-jar.jar,my-other-other-jar.jar]
or something else. Can anybody tell us, or point us to, the correct syntax to use for spark-submit arguments that might take a list, i.e., not just --jars, but also --conf, --files, ...?