diff --git a/current.txt b/current.txt
index bdbad8a3e0..82eca812ae 100644
--- a/current.txt
+++ b/current.txt
@@ -652,6 +652,8 @@ b809193970a91ca637a4b0184767315601d32e3ef3d5992ffbc7a8d14a14f015 android.hardwar
 
 # ABI preserving changes to HALs during Android S
 cd84ab19c590e0e73dd2307b591a3093ee18147ef95e6d5418644463a6620076 android.hardware.neuralnetworks@1.2::IDevice
+9625e85f56515ad2cf87b6a1847906db669f746ea4ab02cd3d4ca25abc9b0109 android.hardware.neuralnetworks@1.2::types
+745295adfd826de650eedaf8cc6979f52a1cf30b04ea7a089a132d0089475e95 android.hardware.neuralnetworks@1.3::types
 38d65fb20c60a5b823298560fc0825457ecdc49603a4b4e94bf81511790737da android.hardware.radio@1.4::types
 954c334efd80e8869b66d1ce5fe2755712d96ba4b3c38d415739c330af5fb4cb android.hardware.radio@1.5::types
 
diff --git a/neuralnetworks/1.2/types.hal b/neuralnetworks/1.2/types.hal
index 92cf2aa5e4..7441a54dba 100644
--- a/neuralnetworks/1.2/types.hal
+++ b/neuralnetworks/1.2/types.hal
@@ -4853,15 +4853,18 @@ struct Operand {
     /**
      * Quantized scale of the operand.
      *
-     * Only applicable if the operand is of type TENSOR_QUANT8_ASYMM or
-     * TENSOR_INT32.
+     * Must be 0 when not applicable to an operand type.
+     *
+     * See {@link OperandType}.
      */
     float scale;
 
     /**
      * Quantized zero-point offset of the operand.
      *
-     * Only applicable if the operand is of type TENSOR_QUANT8_ASYMM.
+     * Must be 0 when not applicable to an operand type.
+     *
+     * See {@link OperandType}.
      */
     int32_t zeroPoint;
 
diff --git a/neuralnetworks/1.2/types.t b/neuralnetworks/1.2/types.t
index d197f6b541..21d88acf8f 100644
--- a/neuralnetworks/1.2/types.t
+++ b/neuralnetworks/1.2/types.t
@@ -251,15 +251,18 @@ struct Operand {
     /**
      * Quantized scale of the operand.
      *
-     * Only applicable if the operand is of type TENSOR_QUANT8_ASYMM or
-     * TENSOR_INT32.
+     * Must be 0 when not applicable to an operand type.
+     *
+     * See {@link OperandType}.
      */
     float scale;
 
     /**
      * Quantized zero-point offset of the operand.
      *
-     * Only applicable if the operand is of type TENSOR_QUANT8_ASYMM.
+     * Must be 0 when not applicable to an operand type.
+     *
+     * See {@link OperandType}.
      */
     int32_t zeroPoint;
 
diff --git a/neuralnetworks/1.3/types.hal b/neuralnetworks/1.3/types.hal
index 3b2b14c98c..7ec60648c5 100644
--- a/neuralnetworks/1.3/types.hal
+++ b/neuralnetworks/1.3/types.hal
@@ -5103,8 +5103,8 @@ enum OperationType : int32_t {
      * signature of this operation. That is, if the operation has (3 + n) inputs
      * and m outputs, both subgraphs must have n inputs and m outputs with the same
      * types, ranks, dimensions, scales,
-     * zeroPoints, and extraParams as the corresponding operation inputs and
-     * outputs.
+     * zeroPoints, and extraParams as the corresponding operation
+     * inputs and outputs.
      * All of the operands mentioned must have fully specified dimensions.
      *
      * Inputs:
@@ -5170,15 +5170,15 @@ enum OperationType : int32_t {
      * * 0: A {@link OperandType::SUBGRAPH} reference to the condition
      *      subgraph. The subgraph must have (m + k + n) inputs with
      *      the same types, ranks, dimensions,
-     *      scales, zeroPoints, and extraParams as the corresponding inputs of
-     *      the WHILE operation and exactly one output of
-     *      {@link OperandType::TENSOR_BOOL8} and shape [1].
+     *      scales, zeroPoints, and extraParams as the
+     *      corresponding inputs of the WHILE operation and exactly one output
+     *      of {@link OperandType::TENSOR_BOOL8} and shape [1].
      *      All of the operands mentioned must have fully specified dimensions.
      * * 1: A {@link OperandType::SUBGRAPH} reference to the body subgraph.
      *      The subgraph must have (m + k + n) inputs and (m + k) outputs with
      *      the same types, ranks, dimensions,
-     *      scales, zeroPoints, and extraParams as the corresponding inputs and
-     *      outputs of the WHILE operation.
+     *      scales, zeroPoints, and extraParams as the
+     *      corresponding inputs and outputs of the WHILE operation.
      *      All of the operands mentioned must have fully specified dimensions.
      * * (m inputs): Initial values for input-output operands.
      * * (k inputs): Initial values for state-only operands.
@@ -5538,15 +5538,18 @@ struct Operand {
     /**
      * Quantized scale of the operand.
      *
-     * Only applicable if the operand is of type TENSOR_QUANT8_ASYMM or
-     * TENSOR_INT32.
+     * Must be 0 when not applicable to an operand type.
+     *
+     * See {@link OperandType}.
      */
     float scale;
 
     /**
      * Quantized zero-point offset of the operand.
      *
-     * Only applicable if the operand is of type TENSOR_QUANT8_ASYMM.
+     * Must be 0 when not applicable to an operand type.
+     *
+     * See {@link OperandType}.
      */
     int32_t zeroPoint;
 
diff --git a/neuralnetworks/1.3/types.t b/neuralnetworks/1.3/types.t
index 7220e372a7..9cffc7a32c 100644
--- a/neuralnetworks/1.3/types.t
+++ b/neuralnetworks/1.3/types.t
@@ -303,15 +303,18 @@ struct Operand {
     /**
      * Quantized scale of the operand.
      *
-     * Only applicable if the operand is of type TENSOR_QUANT8_ASYMM or
-     * TENSOR_INT32.
+     * Must be 0 when not applicable to an operand type.
+     *
+     * See {@link OperandType}.
      */
     float scale;
 
     /**
      * Quantized zero-point offset of the operand.
      *
-     * Only applicable if the operand is of type TENSOR_QUANT8_ASYMM.
+     * Must be 0 when not applicable to an operand type.
+     *
+     * See {@link OperandType}.
      */
     int32_t zeroPoint;