ListCodeConnections
AI agents call ListCodeConnections 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 query or enumerate existing code connections in SageMaker, consistent with AWS service patterns where 'List' operations are read-only. While the description is empty, the name strongly suggests data retrieval with no side effects. Confidence is slightly reduced due to lack of documentation, but the naming convention is unambiguous enough to classify with reasonable confidence.
From the tool's definition Tool name 'ListCodeConnections' indicates a listing/enumeration operation that retrieves information about code connections without modifying them. The 'List' prefix is characteristic of read-only query operations in AWS APIs.
Attacks that exploit this kind of access
ListCodeConnections. 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 ListCodeConnections: 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.
ListCodeConnections 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 ListCodeConnections 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 ListCodeConnections. 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.
ListCodeConnections 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.