get_aws_session_info
AI agents call get_aws_session_info to retrieve information from Amazon SageMaker AI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves AWS session metadata/information, which is a read-only operation with no side effects. Even if misused by an AI agent, it only exposes existing session data rather than enabling destructive, financial, or execution-based actions. The empty description reduces confidence slightly, but the semantic meaning of 'get_' and 'info' strongly indicates a read operation.
From the tool's definition Tool name 'get_aws_session_info' indicates retrieval of session information with no modification or execution capabilities. Description is empty, limiting confidence.
Attacks that exploit this kind of access
get_aws_session_info. It is categorised as a Read tool in the Amazon SageMaker AI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for get_aws_session_info: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Amazon SageMaker AI MCP Server. Nothing to install.
get_aws_session_info is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_aws_session_info rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for get_aws_session_info. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
get_aws_session_info is provided by the Amazon SageMaker AI MCP Server MCP server (awslabs.sagemaker-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.