stream_range · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What stream_range does on Amazon SageMaker AI MCP Server

AI agents call stream_range as a supporting operation in Amazon SageMaker AI MCP Server workflows.

WHY IT NEEDS A POLICY

Why stream_range needs a policy

With no description available, the tool's purpose is unclear. The name 'stream_range' could suggest reading a range of streaming data, but in the context of SageMaker AI it's ambiguous. Without more information, confidence is very low and defaulting to Other with low severity is the safest classification.

From the tool's definition Tool name is 'stream_range' and description is empty or uninformative.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

stream_range Rate-limited

stream_range gets a rate cap, and everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "stream_range": {
      "limits": [
        {
          "counter": "stream_range_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Amazon SageMaker AI MCP Server, so you can run agents against it safely.

FAQ

Questions about stream_range

What does the stream_range tool do? +

stream_range. It is categorised as a Other tool in the Amazon SageMaker AI MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on stream_range? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for stream_range: 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_range? +

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

Can I rate-limit stream_range? +

Yes. Add a rate_limit block to the stream_range 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_range completely? +

Set action: deny in the PolicyLayer policy for stream_range. 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_range? +

stream_range 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.