list-delivery-streams
AI agents call list-delivery-streams 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 tool name pattern 'list-*' in AWS APIs consistently denotes read-only operations that retrieve information about resources (in this case, delivery streams, likely Kinesis Data Firehose). No modification, deletion, or execution is implied. While the description is empty, the naming convention provides sufficient confidence that this is a Read operation with low blast radius if misused by an agent.
From the tool's definition Tool name 'list-delivery-streams' indicates a query/enumeration operation typical of Read operations. The 'list' prefix strongly suggests retrieval of data without modification.
Attacks that exploit this kind of access
list-delivery-streams. 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 list-delivery-streams: 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.
list-delivery-streams 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 list-delivery-streams 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 list-delivery-streams. 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.
list-delivery-streams 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.