diff --git a/misc/py-sagemaker-core/Makefile b/misc/py-sagemaker-core/Makefile
index 7ecf532ab0ec..bd9968f5909e 100644
--- a/misc/py-sagemaker-core/Makefile
+++ b/misc/py-sagemaker-core/Makefile
@@ -6,8 +6,9 @@ PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
 DISTNAME=	${PORTNAME:S/-/_/}-${PORTVERSION}
 
 MAINTAINER=	yuri@FreeBSD.org
-COMMENT=	Sagemaker core functionalities
-WWW=		https://github.com/aws/sagemaker-core
+COMMENT=	SageMaker: Core functionalities
+WWW=		https://github.com/aws/sagemaker-python-sdk \
+		https://github.com/aws/sagemaker-core
 
 LICENSE=	APACHE20
 LICENSE_FILE=	${WRKSRC}/LICENSE
diff --git a/misc/py-sagemaker-core/pkg-descr b/misc/py-sagemaker-core/pkg-descr
index 3ecd7c4fbe95..dfd4e8a947b2 100644
--- a/misc/py-sagemaker-core/pkg-descr
+++ b/misc/py-sagemaker-core/pkg-descr
@@ -1,7 +1,11 @@
-sagemaker-core is a Python SDK designed to provide an object-oriented interface
-for interacting with Amazon SageMaker resources. It offers full parity with
-SageMaker APIs, allowing developers to leverage all SageMaker capabilities
-directly through the SDK. sagemaker-core introduces features such as dedicated
-resource classes, resource chaining, auto code completion, comprehensive
-documentation and type hints to enhance the developer experience as well as
-productivity.
+sagemaker-core is a part of the SageMaker Python SDK.
+
+SageMaker Python SDK is an open source library for training and deploying
+machine learning models on Amazon SageMaker.
+
+With the SDK, you can train and deploy models using popular deep learning
+frameworks Apache MXNet and TensorFlow. You can also train and deploy
+models with Amazon algorithms, which are scalable implementations of core
+machine learning algorithms that are optimized for SageMaker and GPU training.
+If you have your own algorithms built into SageMaker compatible Docker
+containers, you can train and host models using these as well.