diff --git a/dpctl/tensor/_indexing_functions.py b/dpctl/tensor/_indexing_functions.py
index f166e94f49..a2301b5fb2 100644
--- a/dpctl/tensor/_indexing_functions.py
+++ b/dpctl/tensor/_indexing_functions.py
@@ -26,8 +26,18 @@
 from ._copy_utils import _extract_impl, _nonzero_impl
 
 
-def take(x, indices, /, *, axis=None, mode="clip"):
-    """take(x, indices, axis=None, mode="clip")
+def _get_indexing_mode(name):
+    modes = {"wrap": 0, "clip": 1}
+    try:
+        return modes[name]
+    except KeyError:
+        raise ValueError(
+            "`mode` must be `wrap` or `clip`." "Got `{}`.".format(name)
+        )
+
+
+def take(x, indices, /, *, axis=None, mode="wrap"):
+    """take(x, indices, axis=None, mode="wrap")
 
     Takes elements from array along a given axis.
 
@@ -42,15 +52,15 @@ def take(x, indices, /, *, axis=None, mode="clip"):
           Default: `None`.
        mode:
           How out-of-bounds indices will be handled.
-          "clip" - clamps indices to (-n <= i < n), then wraps
+          "wrap" - clamps indices to (-n <= i < n), then wraps
           negative indices.
-          "wrap" - wraps both negative and positive indices.
-          Default: `"clip"`.
+          "clip" - clips indices to (0 <= i < n)
+          Default: `"wrap"`.
 
     Returns:
        out: usm_ndarray
           Array with shape x.shape[:axis] + indices.shape + x.shape[axis + 1:]
-          filled with elements .
+          filled with elements from x.
     """
     if not isinstance(x, dpt.usm_ndarray):
         raise TypeError(
@@ -80,11 +90,7 @@ def take(x, indices, /, *, axis=None, mode="clip"):
         [x.usm_type, indices.usm_type]
     )
 
-    modes = {"clip": 0, "wrap": 1}
-    try:
-        mode = modes[mode]
-    except KeyError:
-        raise ValueError("`mode` must be `clip` or `wrap`.")
+    mode = _get_indexing_mode(mode)
 
     x_ndim = x.ndim
     if axis is None:
@@ -114,8 +120,8 @@ def take(x, indices, /, *, axis=None, mode="clip"):
     return res
 
 
-def put(x, indices, vals, /, *, axis=None, mode="clip"):
-    """put(x, indices, vals, axis=None, mode="clip")
+def put(x, indices, vals, /, *, axis=None, mode="wrap"):
+    """put(x, indices, vals, axis=None, mode="wrap")
 
     Puts values of an array into another array
     along a given axis.
@@ -134,10 +140,10 @@ def put(x, indices, vals, /, *, axis=None, mode="clip"):
           Default: `None`.
        mode:
           How out-of-bounds indices will be handled.
-          "clip" - clamps indices to (-axis_size <= i < axis_size),
-          then wraps negative indices.
-          "wrap" - wraps both negative and positive indices.
-          Default: `"clip"`.
+          "wrap" - clamps indices to (-n <= i < n), then wraps
+          negative indices.
+          "clip" - clips indices to (0 <= i < n)
+          Default: `"wrap"`.
     """
     if not isinstance(x, dpt.usm_ndarray):
         raise TypeError(
@@ -175,11 +181,8 @@ def put(x, indices, vals, /, *, axis=None, mode="clip"):
     if exec_q is None:
         raise dpctl.utils.ExecutionPlacementError
     vals_usm_type = dpctl.utils.get_coerced_usm_type(usm_types_)
-    modes = {"clip": 0, "wrap": 1}
-    try:
-        mode = modes[mode]
-    except KeyError:
-        raise ValueError("`mode` must be `clip` or `wrap`.")
+
+    mode = _get_indexing_mode(mode)
 
     x_ndim = x.ndim
     if axis is None:
diff --git a/dpctl/tensor/libtensor/include/kernels/integer_advanced_indexing.hpp b/dpctl/tensor/libtensor/include/kernels/integer_advanced_indexing.hpp
index 07b0a4e9b8..40f457ce15 100644
--- a/dpctl/tensor/libtensor/include/kernels/integer_advanced_indexing.hpp
+++ b/dpctl/tensor/libtensor/include/kernels/integer_advanced_indexing.hpp
@@ -46,10 +46,10 @@ namespace py = pybind11;
 template <typename ProjectorT, typename Ty, typename indT> class take_kernel;
 template <typename ProjectorT, typename Ty, typename indT> class put_kernel;
 
-class ClipIndex
+class WrapIndex
 {
 public:
-    ClipIndex() = default;
+    WrapIndex() = default;
 
     void operator()(py::ssize_t max_item, py::ssize_t &ind) const
     {
@@ -60,16 +60,15 @@ class ClipIndex
     }
 };
 
-class WrapIndex
+class ClipIndex
 {
 public:
-    WrapIndex() = default;
+    ClipIndex() = default;
 
     void operator()(py::ssize_t max_item, py::ssize_t &ind) const
     {
         max_item = std::max<py::ssize_t>(max_item, 1);
-        ind = (ind < 0) ? (ind + max_item * ((-ind / max_item) + 1)) % max_item
-                        : ind % max_item;
+        ind = std::clamp<py::ssize_t>(ind, 0, max_item - 1);
         return;
     }
 };
diff --git a/dpctl/tensor/libtensor/source/integer_advanced_indexing.cpp b/dpctl/tensor/libtensor/source/integer_advanced_indexing.cpp
index cb148c7df3..c2589836fd 100644
--- a/dpctl/tensor/libtensor/source/integer_advanced_indexing.cpp
+++ b/dpctl/tensor/libtensor/source/integer_advanced_indexing.cpp
@@ -40,8 +40,8 @@
 #include "integer_advanced_indexing.hpp"
 
 #define INDEXING_MODES 2
-#define CLIP_MODE 0
-#define WRAP_MODE 1
+#define WRAP_MODE 0
+#define CLIP_MODE 1
 
 namespace dpctl
 {
@@ -252,8 +252,8 @@ usm_ndarray_take(dpctl::tensor::usm_ndarray src,
         throw py::value_error("Axis cannot be negative.");
     }
 
-    if (mode != 0 && mode != 1) {
-        throw py::value_error("Mode must be 0 or 1.");
+    if (mode != 0 && mode != 1 && mode != 2) {
+        throw py::value_error("Mode must be 0, 1, or 2.");
     }
 
     const dpctl::tensor::usm_ndarray ind_rep = ind[0];
@@ -575,8 +575,8 @@ usm_ndarray_put(dpctl::tensor::usm_ndarray dst,
         throw py::value_error("Axis cannot be negative.");
     }
 
-    if (mode != 0 && mode != 1) {
-        throw py::value_error("Mode must be 0 or 1.");
+    if (mode != 0 && mode != 1 && mode != 2) {
+        throw py::value_error("Mode must be 0, 1, or 2.");
     }
 
     if (!dst.is_writable()) {
diff --git a/dpctl/tests/test_usm_ndarray_indexing.py b/dpctl/tests/test_usm_ndarray_indexing.py
index 5d160bf0f1..a57ea83cea 100644
--- a/dpctl/tests/test_usm_ndarray_indexing.py
+++ b/dpctl/tests/test_usm_ndarray_indexing.py
@@ -20,6 +20,7 @@
 from helper import get_queue_or_skip, skip_if_dtype_not_supported
 from numpy.testing import assert_array_equal
 
+import dpctl
 import dpctl.tensor as dpt
 from dpctl.utils import ExecutionPlacementError
 
@@ -895,20 +896,21 @@ def test_integer_indexing_modes():
     q = get_queue_or_skip()
 
     x = dpt.arange(5, sycl_queue=q)
+    x_np = dpt.asnumpy(x)
+
+    # wrapping negative indices
+    ind = dpt.asarray([-4, -3, 0, 2, 4], dtype=np.intp, sycl_queue=q)
 
-    # wrapping
-    ind = dpt.asarray([-6, -3, 0, 2, 6], dtype=np.intp, sycl_queue=q)
     res = dpt.take(x, ind, mode="wrap")
-    expected_arr = np.take(dpt.asnumpy(x), dpt.asnumpy(ind), mode="wrap")
+    expected_arr = np.take(x_np, dpt.asnumpy(ind), mode="raise")
 
     assert (dpt.asnumpy(res) == expected_arr).all()
 
-    # clipping to -n<=i<n,
-    # where n is the axis length
-    ind = dpt.asarray([-4, -3, 0, 2, 4], dtype=np.intp, sycl_queue=q)
+    # clipping to 0 (disabling negative indices)
+    ind = dpt.asarray([-6, -3, 0, 2, 6], dtype=np.intp, sycl_queue=q)
 
     res = dpt.take(x, ind, mode="clip")
-    expected_arr = np.take(dpt.asnumpy(x), dpt.asnumpy(ind), mode="raise")
+    expected_arr = np.take(x_np, dpt.asnumpy(ind), mode="clip")
 
     assert (dpt.asnumpy(res) == expected_arr).all()
 
@@ -939,6 +941,10 @@ def test_take_arg_validation():
         dpt.take(dpt.reshape(x, (2, 2)), ind0, axis=None)
     with pytest.raises(ValueError):
         dpt.take(x, dpt.reshape(ind0, (2, 2)))
+    with pytest.raises(ValueError):
+        dpt.take(x[0], ind0, axis=2)
+    with pytest.raises(ValueError):
+        dpt.take(x[:, dpt.newaxis, dpt.newaxis], ind0, axis=None)
 
 
 def test_put_arg_validation():
@@ -968,6 +974,10 @@ def test_put_arg_validation():
         dpt.put(x, ind0, val, mode=0)
     with pytest.raises(ValueError):
         dpt.put(x, dpt.reshape(ind0, (2, 2)), val)
+    with pytest.raises(ValueError):
+        dpt.put(x[0], ind0, val, axis=2)
+    with pytest.raises(ValueError):
+        dpt.put(x[:, dpt.newaxis, dpt.newaxis], ind0, val, axis=None)
 
 
 def test_advanced_indexing_compute_follows_data():
@@ -1269,3 +1279,43 @@ def test_nonzero_large():
 
     m = dpt.full((30, 60, 80), True)
     assert m[m].size == m.size
+
+
+def test_extract_arg_validation():
+    get_queue_or_skip()
+    with pytest.raises(TypeError):
+        dpt.extract(None, None)
+    cond = dpt.ones(10, dtype="?")
+    with pytest.raises(TypeError):
+        dpt.extract(cond, None)
+    q1 = dpctl.SyclQueue()
+    with pytest.raises(ExecutionPlacementError):
+        dpt.extract(cond.to_device(q1), dpt.zeros_like(cond, dtype="u1"))
+    with pytest.raises(ValueError):
+        dpt.extract(dpt.ones((2, 3), dtype="?"), dpt.ones((3, 2), dtype="i1"))
+
+
+def test_place_arg_validation():
+    get_queue_or_skip()
+    with pytest.raises(TypeError):
+        dpt.place(None, None, None)
+    arr = dpt.zeros(8, dtype="i1")
+    with pytest.raises(TypeError):
+        dpt.place(arr, None, None)
+    cond = dpt.ones(8, dtype="?")
+    with pytest.raises(TypeError):
+        dpt.place(arr, cond, None)
+    vals = dpt.ones_like(arr)
+    q1 = dpctl.SyclQueue()
+    with pytest.raises(ExecutionPlacementError):
+        dpt.place(arr.to_device(q1), cond, vals)
+    with pytest.raises(ValueError):
+        dpt.place(dpt.reshape(arr, (2, 2, 2)), cond, vals)
+
+
+def test_nonzero_arg_validation():
+    get_queue_or_skip()
+    with pytest.raises(TypeError):
+        dpt.nonzero(list())
+    with pytest.raises(ValueError):
+        dpt.nonzero(dpt.asarray(1))