describe_severity_levels
AI agents call describe_severity_levels 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 appears to retrieve or list severity level definitions, which is a read-only operation. The empty description reduces confidence slightly, but the 'describe_' prefix strongly suggests data retrieval with no side effects. No blast radius if an AI misuses this—reading severity definitions is low-risk.
From the tool's definition Tool name 'describe_severity_levels' indicates retrieval of information about severity level definitions or configurations. The 'describe_*' prefix is characteristic of query/read operations that fetch metadata or descriptive information without modification.
Attacks that exploit this kind of access
describe_severity_levels. 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 describe_severity_levels: 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.
describe_severity_levels 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 describe_severity_levels 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 describe_severity_levels. 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.
describe_severity_levels 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.