gateway_resource_policy_get

gateway_resource_policy_get

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

What gateway_resource_policy_get does on Amazon SageMaker AI MCP Server

AI agents call gateway_resource_policy_get 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 gateway_resource_policy_get needs a policy

The 'get' verb strongly suggests this tool retrieves or queries a resource policy for a gateway without modifying, deleting, or executing operations. However, the empty description reduces confidence below 0.85. The absence of 'put', 'delete', 'create', or 'execute' in the name indicates it is a read-only query operation.

From the tool's definition Tool name 'gateway_resource_policy_get' uses 'get' suffix, indicating a retrieval operation. Description is empty, limiting confidence.

Questions about gateway_resource_policy_get

What does the gateway_resource_policy_get tool do? +

gateway_resource_policy_get. 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 gateway_resource_policy_get? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for gateway_resource_policy_get: 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 gateway_resource_policy_get? +

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

Can I rate-limit gateway_resource_policy_get? +

Yes. Add a rate_limit block to the gateway_resource_policy_get 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 gateway_resource_policy_get completely? +

Set action: deny in the PolicyLayer policy for gateway_resource_policy_get. 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 gateway_resource_policy_get? +

gateway_resource_policy_get 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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