describe-events
AI agents call describe-events 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 tool appears to retrieve or list event information based on standard AWS naming conventions. With an empty description, there is minor uncertainty, but 'describe' operations are consistently read-only queries in AWS APIs. The lack of action verbs like 'delete', 'create', 'update', or 'execute' indicates no side effects. Confidence is slightly reduced due to missing description details.
From the tool's definition Tool name 'describe-events' suggests querying or retrieving event data without modification. The pattern 'describe-*' is standard AWS API naming for read-only operations that fetch and return information about resources.
Attacks that exploit this kind of access
describe-events. 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-events: 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-events 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-events 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-events. 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-events 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.