Python: drop docstring arguments the signatures no longer accept

python/semantic_kernel/agents/bedrock/bedrock_agent.py

@@ -201,7 +201,6 @@ async def create_and_prepare_agent(
             function_choice_behavior (FunctionChoiceBehavior, optional): The function choice behavior for accessing
                 the kernel functions and filters. Only FunctionChoiceType.AUTO is supported.
             arguments (KernelArguments, optional): The kernel arguments.
-            prompt_template_config (PromptTemplateConfig, optional): The prompt template configuration.
             env_file_path (str, optional): The path to the environment file.
             env_file_encoding (str, optional): The encoding of the environment file.
 
@@ -698,7 +697,6 @@ async def create_channel(self, thread_id: str | None = None) -> AgentChannel:
         """Create a ChatHistoryChannel.
 
         Args:
-            chat_history: The chat history for the channel. If None, a new ChatHistory instance will be created.
             thread_id: The ID of the thread. If None, a new thread will be created.
 
         Returns:

python/semantic_kernel/agents/orchestration/group_chat.py

@@ -201,7 +201,6 @@ async def filter_results(
 
         Args:
             chat_history (ChatHistory): The chat history of the group chat.
-            participant_descriptions (dict[str, str]): The descriptions of the participants in the group chat.
         """
         ...
 

python/semantic_kernel/connectors/ai/open_ai/exceptions/content_filter_ai_exception.py

@@ -31,7 +31,6 @@ def from_inner_error_result(cls, inner_error_results: dict[str, Any]) -> "Conten
         """Creates a ContentFilterResult from the inner error results.
 
         Args:
-            key (str): The key to get the inner error result from.
             inner_error_results (Dict[str, Any]): The inner error results.
 
         Returns:

python/semantic_kernel/connectors/memory_stores/azure_cognitive_search/azure_cognitive_search_memory_store.py

@@ -116,7 +116,6 @@ async def create_collection(
             collection_name (str): The name of the collection to create.
             vector_config (HnswVectorSearchAlgorithmConfiguration): Optional search algorithm configuration
                                                                       (default: {None}).
-            semantic_config (SemanticConfiguration): Optional search index configuration (default: {None}).
             search_resource_encryption_key (SearchResourceEncryptionKey): Optional Search Encryption Key
                                                                                        (default: {None}).
 

python/semantic_kernel/contents/chat_message_content.py

@@ -235,9 +235,6 @@ def __str__(self) -> str:
     def to_element(self) -> "Element":
         """Convert the ChatMessageContent to an XML Element.
 
-        Args:
-            root_key: str - The key to use for the root of the XML Element.
-
         Returns:
             Element - The XML Element representing the ChatMessageContent.
         """

python/semantic_kernel/contents/streaming_chat_message_content.py

@@ -208,9 +208,6 @@ def __add__(self, other: "StreamingChatMessageContent") -> "StreamingChatMessage
     def to_element(self) -> "Element":
         """Convert the StreamingChatMessageContent to an XML Element.
 
-        Args:
-            root_key: str - The key to use for the root of the XML Element.
-
         Returns:
             Element - The XML Element representing the StreamingChatMessageContent.
         """

python/semantic_kernel/core_plugins/text_memory_plugin.py

@@ -95,7 +95,6 @@ async def save(
 
         Args:
             text: The text to save to the memory
-            kernel: The kernel instance, that has a memory store
             collection: The collection to save the information
             key: The unique key to associate with the information
 

python/semantic_kernel/kernel.py

@@ -605,7 +605,6 @@ def as_mcp_server(
         Tool names over MCP's recommended 128 characters are exposed with a warning.
 
         Args:
-            kernel: The kernel instance to use.
             prompts: A list of prompt templates to expose as prompts.
             server_name: The name of the server.
             version: The version of the server.

python/semantic_kernel/memory/semantic_text_memory_base.py

@@ -99,7 +99,6 @@ async def search(
             query (str): The query to search for.
             limit (int): The maximum number of results to return. (default: {1})
             min_relevance_score (float): The minimum relevance score to return. (default: {0.0})
-            with_embeddings (bool): Whether to return the embeddings of the results. (default: {False})
 
         Returns:
             List[MemoryQueryResult]: The list of MemoryQueryResult found.