stream_read

Read entries from stream.

Server Amazon SageMaker AI MCP Server awslabs.sagemaker-ai-mcp-server
Category Read
Risk class Low
Parameters 00 required

What stream_read does on Amazon SageMaker AI MCP Server

AI agents call stream_read 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.

Why stream_read needs a policy

This tool retrieves or queries data from a stream without creating, modifying, deleting, or executing any operations. It is a passive data retrieval operation with minimal blast radius if misused by an AI agent—at worst, it could expose sensitive data that the agent has permissions to access, but cannot cause infrastructure changes or data loss.

From the tool's definition Tool name 'stream_read' and description 'Read entries from stream' explicitly indicate a read operation with no modification or side effects.

Questions about stream_read

What does the stream_read tool do? +

Read entries from stream. It is categorised as a Read tool in the Amazon SageMaker AI MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on stream_read? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for stream_read: 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.

What risk level is stream_read? +

stream_read is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit stream_read? +

Yes. Add a rate_limit block to the stream_read 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.

How do I block stream_read completely? +

Set action: deny in the PolicyLayer policy for stream_read. 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.

What MCP server provides stream_read? +

stream_read 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.

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