get-cost-and-usage
AI agents call get-cost-and-usage 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 queries AWS cost and usage metrics, which is a read-only operation that retrieves historical billing information. While cost data is sensitive, the tool does not move money, execute code, or modify resources—it only reads aggregated usage reports. The empty description reduces confidence slightly, but the name strongly suggests a passive reporting function typical of AWS Cost Explorer queries.
From the tool's definition Tool name 'get-cost-and-usage' indicates retrieval of billing/cost data without modification. No destructive, financial transaction, or execute capabilities are implied.
Attacks that exploit this kind of access
get-cost-and-usage. 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-cost-and-usage: 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-cost-and-usage 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-cost-and-usage 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-cost-and-usage. 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-cost-and-usage 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.