describe-serverless-caches

describe-serverless-caches

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

What describe-serverless-caches does on Amazon SageMaker AI MCP Server

AI agents call describe-serverless-caches 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 describe-serverless-caches needs a policy

The 'describe' operation is a standard AWS API pattern for retrieving metadata and configuration details about resources. Despite the empty description reducing confidence slightly, the naming convention strongly indicates this is a read-only information retrieval operation. No data is created, modified, deleted, or financial operations are involved.

From the tool's definition Tool name 'describe-serverless-caches' uses the 'describe' verb, which conventionally retrieves or queries information about resources without modification.

Questions about describe-serverless-caches

What does the describe-serverless-caches tool do? +

describe-serverless-caches. 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 describe-serverless-caches? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for describe-serverless-caches: 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 describe-serverless-caches? +

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

Can I rate-limit describe-serverless-caches? +

Yes. Add a rate_limit block to the describe-serverless-caches 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 describe-serverless-caches completely? +

Set action: deny in the PolicyLayer policy for describe-serverless-caches. 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 describe-serverless-caches? +

describe-serverless-caches 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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