diff --git a/Project.toml b/Project.toml
index 9cf8028a76..3c93057f90 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,7 +1,7 @@
 name = "Enzyme"
 uuid = "7da242da-08ed-463a-9acd-ee780be4f1d9"
 authors = ["William Moses <wmoses@mit.edu>", "Valentin Churavy <vchuravy@mit.edu>"]
-version = "0.13.1"
+version = "0.13.2"
 
 [deps]
 CEnum = "fa961155-64e5-5f13-b03f-caf6b980ea82"
diff --git a/src/Enzyme.jl b/src/Enzyme.jl
index 985e8deeea..a439cf430c 100644
--- a/src/Enzyme.jl
+++ b/src/Enzyme.jl
@@ -1417,8 +1417,8 @@ end
     jacobian(::ReverseMode, f, x)
 
 Compute the jacobian of a array-output function `f` using (potentially vector)
-reverse mode. The `chunk` argument denotes the chunk size to use and `n_outs`
-denotes the shape of the array returned by `f`.
+reverse mode. The `chunk` argument optionally denotes the chunk size to use and
+`n_outs` optionally denotes the shape of the array returned by `f` (e.g `size(f(x))`).
 
 Example:
 
@@ -1434,12 +1434,30 @@ jacobian(Reverse, f, [2.0, 3.0, 4.0])
 ```jldoctest
 f(x) = [ x[1] * x[2], x[2] + x[3] ]
 
+grad = jacobian(ReverseWithPrimal, f, [2.0, 3.0, 4.0])
+
+# output
+(derivs = ([3.0 2.0 0.0; 0.0 1.0 1.0],), val = [6.0, 7.0])
+```
+
+```jldoctest
+f(x) = [ x[1] * x[2], x[2] + x[3] ]
+
 grad = jacobian(Reverse, f, [2.0, 3.0, 4.0], n_outs=Val((2,)))
 
 # output
 ([3.0 2.0 0.0; 0.0 1.0 1.0],)
 ```
 
+```jldoctest
+f(x) = [ x[1] * x[2], x[2] + x[3] ]
+
+grad = jacobian(ReverseWithPrimal, f, [2.0, 3.0, 4.0], n_outs=Val((2,)))
+
+# output
+(derivs = ([3.0 2.0 0.0; 0.0 1.0 1.0],), val = [6.0, 7.0])
+```
+
 This function will return an AbstractArray whose shape is `(size(output)..., size(input)...)`.
 No guarantees are presently made about the type of the AbstractArray returned by this function
 (which may or may not be the same as the input AbstractArray if provided).
@@ -1573,7 +1591,7 @@ this function will retun an AbstractArray of shape `size(output)` of values of t
         end
         if ReturnPrimal
           # TODO optimize away redundant fwd pass
-	  (; derivs=res, val=if f isa Enzyme.Const
+        (; derivs=(res,), val=if f isa Enzyme.Const
 		f.val(x)
 	   else
 		f(x)