GetAvailableWorkspaces
AI agents call GetAvailableWorkspaces 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 name uses the 'Get' pattern, which typically retrieves data without modification. Getting available workspaces is a query operation with no side effects. Confidence is moderate (0.75) due to empty description, but the naming convention strongly suggests read-only access to workspace information. Severity is low because listing available workspaces poses minimal risk even if an agent queries it unexpectedly.
From the tool's definition Tool name 'GetAvailableWorkspaces' indicates a retrieval operation (Get); description is empty but the verb 'Get' and context of querying available resources suggest read-only list/query behavior typical of SageMaker workspace enumeration.
Attacks that exploit this kind of access
GetAvailableWorkspaces. 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 GetAvailableWorkspaces: 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.
GetAvailableWorkspaces 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 GetAvailableWorkspaces 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 GetAvailableWorkspaces. 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.
GetAvailableWorkspaces 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.