get_policies_for_role
AI agents call get_policies_for_role 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.
This tool retrieves IAM policy information associated with a role—a non-destructive read operation. It does not modify, execute, delete, or commit financial transactions. The blast radius of misuse is limited to potential exposure of policy metadata, which an agent might use for reconnaissance but cannot directly cause damage with this tool alone.
From the tool's definition Tool name 'get_policies_for_role' uses the 'get' verb, which is a retrieval operation. The 'for_role' suffix indicates this queries policies associated with a specific IAM role.
Attacks that exploit this kind of access
get_policies_for_role. 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_policies_for_role: 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_policies_for_role 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_policies_for_role 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_policies_for_role. 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_policies_for_role 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.