GetAHOReadSetMetadata
AI agents call GetAHOReadSetMetadata 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 clearly indicates a retrieval operation with no side effects. Metadata retrieval from AWS Omics services is a read-only operation that queries existing data without modification or execution. Low severity due to no destructive or financial implications. Confidence reduced from 0.9 to 0.7 due to empty description, but the verb 'Get' is strong enough to classify confidently as Read.
From the tool's definition Tool name 'GetAHOReadSetMetadata' uses 'Get' verb, indicating data retrieval. The 'AHOReadSet' prefix suggests querying metadata about sequencing reads in AWS Omics (Amazon Health Omics). Description is empty, which limits certainty.
Attacks that exploit this kind of access
GetAHOReadSetMetadata. 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 GetAHOReadSetMetadata: 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.
GetAHOReadSetMetadata 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 GetAHOReadSetMetadata 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 GetAHOReadSetMetadata. 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.
GetAHOReadSetMetadata 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.