Returns a Timestream for InfluxDB DB cluster details by the db_cluster_id
AI agents call GetDbCluster 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 database cluster configuration or state information from AWS Timestream for InfluxDB. The verb 'Returns' and the passive retrieval nature of querying cluster details with only a db_cluster_id parameter indicate a read-only operation with no side effects. Blast radius is minimal—at worst, an AI agent gains visibility into infrastructure details, but cannot modify or delete resources.
From the tool's definition Tool name 'GetDbCluster' and description 'Returns a Timestream for InfluxDB DB cluster details' indicate a retrieval operation with no modification.
Attacks that exploit this kind of access
Returns a Timestream for InfluxDB DB cluster details by the db_cluster_id. 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 GetDbCluster: 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.
GetDbCluster 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 GetDbCluster 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 GetDbCluster. 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.
GetDbCluster 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.