compute-optimizer
AI agents call compute-optimizer 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 name 'compute-optimizer' suggests a read-only analysis or recommendation tool. Without a description to indicate otherwise, it most likely retrieves or queries optimization recommendations rather than executing changes, writing data, or deleting resources. However, confidence is moderate due to the empty description—the actual implementation could differ from the naming convention.
From the tool's definition Tool name is 'compute-optimizer' with no description provided. Based on naming convention, this appears to be an AWS Compute Optimizer tool, which typically analyzes and provides recommendations about EC2 instances, Lambda functions, and other compute…
Attacks that exploit this kind of access
compute-optimizer. 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 compute-optimizer: 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.
compute-optimizer 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 compute-optimizer 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 compute-optimizer. 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.
compute-optimizer 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.