List all Timestream for InfluxDB DB clusters.
AI agents call ListDbClusters 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 retrieves and enumerates existing database cluster resources. It performs a read-only query with no side effects, data modification, or infrastructure changes. The blast radius of misuse is minimal—an attacker would only gain visibility into cluster configurations, not the ability to modify or delete clusters or access their data directly.
From the tool's definition Tool name 'ListDbClusters' and description 'List all Timestream for InfluxDB DB clusters' indicate a query/list operation that retrieves cluster information without modifying, deleting, or executing operations.
Attacks that exploit this kind of access
List all Timestream for InfluxDB DB clusters. 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 ListDbClusters: 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.
ListDbClusters 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 ListDbClusters 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 ListDbClusters. 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.
ListDbClusters 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.