GetSupportedFileTypes
AI agents call GetSupportedFileTypes 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 metadata about supported file types with no side effects. The 'Get' prefix and absence of write/delete/execute keywords indicate a simple data retrieval operation. Confidence is moderate (0.7) rather than high because the description is empty and we cannot fully verify the scope or any edge-case behaviors, but the name strongly suggests a benign read operation.
From the tool's definition Tool name 'GetSupportedFileTypes' indicates a retrieval operation that queries supported file type information. The name follows the 'Get' pattern typical of read-only operations.
Attacks that exploit this kind of access
GetSupportedFileTypes. 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 GetSupportedFileTypes: 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.
GetSupportedFileTypes 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 GetSupportedFileTypes 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 GetSupportedFileTypes. 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.
GetSupportedFileTypes 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.