Add opSupportLimits() privacy considerations for fingerprinting (#881)

Related #875

Co-authored-by: Reilly Grant <reillyeon@users.noreply.github.com>

Author: anssiko

index.bs

@@ -1416,6 +1416,10 @@ Note: Similar to `dispatch()`, `writeTensor()` itself provides no signal that th
 ### {{MLContext/opSupportLimits()}}  ### {#api-mlcontext-opsupportlimits}
 The {{MLContext/opSupportLimits()}} exposes level of support that differs across implementations at operator level. Consumers of the WebNN API are encouraged to probe feature support level by using {{MLContext/opSupportLimits()}} to determine the optimal model architecture to be deployed for each target platform.
 
+Note: The {{MLContext/opSupportLimits()}} API is not intended to provide additional entropy for browser fingerprinting. In current implementations this feature support information can be inferred from the OS and browser version alone. If the diversity of future implementations warrants it, this API allows future implementations to add new privacy mitigations e.g. to bucket capabilities similar to WebGPU to reduce entropy.
+
+See [#privacy] for additional discussion of fingerprinting considerations.
+
 #### {{MLOpSupportLimits}} dictionary #### {#api-mlcontext-opsupportlimits-dictionary}
 The {{MLOpSupportLimits}} has the following top level members, aside from these, each [=operator=] has a corresponding member defined in its builder method.
 <script type="idl">