get_role_policy

get_role_policy

Server Amazon SageMaker AI MCP Server awslabs.sagemaker-ai-mcp-server
Category Read
Risk class Low
Parameters 00 required

What get_role_policy does on Amazon SageMaker AI MCP Server

AI agents call get_role_policy 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.

Why get_role_policy needs a policy

The 'get_' prefix combined with 'role_policy' (an AWS IAM resource) indicates this tool retrieves policy information associated with a role. This is a read operation with no side effects—it queries existing configuration data. Even if an AI agent misused it by querying sensitive policies, the impact is limited to information disclosure (low severity). No data is created, modified, deleted, or executed.

From the tool's definition Tool name 'get_role_policy' indicates a retrieval operation. The prefix 'get_' is consistently associated with read-only queries in AWS APIs.

Questions about get_role_policy

What does the get_role_policy tool do? +

get_role_policy. It is categorised as a Read tool in the Amazon SageMaker AI MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_role_policy? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for get_role_policy: 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.

What risk level is get_role_policy? +

get_role_policy is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_role_policy? +

Yes. Add a rate_limit block to the get_role_policy 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.

How do I block get_role_policy completely? +

Set action: deny in the PolicyLayer policy for get_role_policy. 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.

What MCP server provides get_role_policy? +

get_role_policy 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.

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