GetAHOWorkflow
AI agents call GetAHOWorkflow 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 'Get' prefix strongly implies a read-only operation that retrieves workflow data without modifying state. However, without a description, the exact scope and nature of what is returned cannot be fully confirmed. Medium severity assigned because workflow configuration details could be sensitive in some contexts, but the primary risk is information disclosure rather than direct harm.
From the tool's definition Tool name 'GetAHOWorkflow' suggests retrieval of workflow information from AWS SageMaker. The 'Get' prefix indicates a read operation that queries or retrieves data. Description is empty, reducing confidence.
Attacks that exploit this kind of access
GetAHOWorkflow. 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 GetAHOWorkflow: 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.
GetAHOWorkflow 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 GetAHOWorkflow 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 GetAHOWorkflow. 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.
GetAHOWorkflow 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.