GetAHOSequenceStore
AI agents call GetAHOSequenceStore 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-only query operation that retrieves sequence store data from AWS Omics. No verbs indicating modification, deletion, or execution are present. While the empty description reduces confidence slightly, the naming pattern is consistent with Read operations across AWS services.
From the tool's definition Tool name 'GetAHOSequenceStore' uses the 'Get' verb, indicating a retrieval operation. Description is empty, limiting confidence. AHO (AWS Health Omics) Sequence Store is a data repository, and 'Get' typically retrieves data without modification.
Attacks that exploit this kind of access
GetAHOSequenceStore. 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 GetAHOSequenceStore: 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.
GetAHOSequenceStore 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 GetAHOSequenceStore 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 GetAHOSequenceStore. 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.
GetAHOSequenceStore 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.