UpdateAHOSequenceStore
AI agents use UpdateAHOSequenceStore to create or update resources in Amazon SageMaker AI MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon SageMaker AI MCP Server environment.
The tool modifies data (Update) but does not irreversibly delete it, so it falls under Write rather than Destructive. The empty description lowers confidence slightly, but the semantic content of the name clearly indicates a data modification operation.
From the tool's definition Tool name 'UpdateAHOSequenceStore' contains 'Update', indicating modification of data. 'AHO' likely refers to AWS Health Omics (a genomics service), and 'SequenceStore' is a data structure for storing genomic sequences.
Attacks that exploit this kind of access
UpdateAHOSequenceStore. It is categorised as a Write tool in the Amazon SageMaker AI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for UpdateAHOSequenceStore: 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.
UpdateAHOSequenceStore is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the UpdateAHOSequenceStore 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 UpdateAHOSequenceStore. 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.
UpdateAHOSequenceStore 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.