GetAHOReferenceMetadata
AI agents call GetAHOReferenceMetadata 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 'Get' prefix strongly suggests a read operation that retrieves metadata. Without explicit evidence of side effects, mutation, execution, or destructive capability, this defaults to the Read category. Confidence is moderate (0.6) due to the empty description and unfamiliar 'AHO' context, which could potentially indicate domain-specific behavior not apparent from the name alone.
From the tool's definition Tool name 'GetAHOReferenceMetadata' uses the 'Get' verb, which typically indicates retrieval of data without modification. The description is empty, preventing detailed analysis.
Attacks that exploit this kind of access
GetAHOReferenceMetadata. 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 GetAHOReferenceMetadata: 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.
GetAHOReferenceMetadata 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 GetAHOReferenceMetadata 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 GetAHOReferenceMetadata. 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.
GetAHOReferenceMetadata 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.