diff --git a/core/java/android/app/usage/NetworkStatsManager.java b/core/java/android/app/usage/NetworkStatsManager.java
index da5aa61f1f..6cd4e92383 100644
--- a/core/java/android/app/usage/NetworkStatsManager.java
+++ b/core/java/android/app/usage/NetworkStatsManager.java
@@ -182,10 +182,10 @@ public class NetworkStatsManager {
     /**
      * Query network usage statistics summaries. Result filtered to include only uids belonging to
      * calling user. Result is aggregated over time, hence all buckets will have the same start and
-     * end timestamps. State is going to be {@link NetworkStats.Bucket#STATE_ALL},
-     * uid {@link NetworkStats.Bucket#UID_ALL}, tag {@link NetworkStats.Bucket#TAG_NONE},
-     * metered {@link NetworkStats.Bucket#METERED_ALL}, and roaming
-     * {@link NetworkStats.Bucket#ROAMING_ALL}.
+     * end timestamps. Not aggregated over state, uid, metered, or roaming. This means buckets'
+     * start and end timestamps are going to be the same as the 'startTime' and 'endTime'
+     * parameters. State, uid, metered, and roaming are going to vary, and tag is going to be the
+     * same.
      *
      * @param networkType As defined in {@link ConnectivityManager}, e.g.
      *            {@link ConnectivityManager#TYPE_MOBILE}, {@link ConnectivityManager#TYPE_WIFI}
@@ -231,7 +231,9 @@ public class NetworkStatsManager {
      * belonging to calling user. Result is aggregated over state but not aggregated over time.
      * This means buckets' start and end timestamps are going to be between 'startTime' and
      * 'endTime' parameters. State is going to be {@link NetworkStats.Bucket#STATE_ALL}, uid the
-     * same as the 'uid' parameter and tag the same as 'tag' parameter.
+     * same as the 'uid' parameter and tag the same as 'tag' parameter. metered is going to be
+     * {@link NetworkStats.Bucket#METERED_ALL}, and roaming is going to be
+     * {@link NetworkStats.Bucket#ROAMING_ALL}.
      * <p>Only includes buckets that atomically occur in the inclusive time range. Doesn't
      * interpolate across partial buckets. Since bucket length is in the order of hours, this
      * method cannot be used to measure data usage on a fine grained time scale.