browser_type
AI agents call browser_type as a supporting operation in Amazon SageMaker AI MCP Server workflows.
The description is empty and the tool name 'browser_type' is ambiguous in this context. Without any description or clear indication of what the tool does in relation to SageMaker, it is not possible to confidently assign a risk category. Confidence is very low.
From the tool's definition Tool name is 'browser_type' and description is empty. The name suggests browser interaction (typing), but context is an Amazon SageMaker AI MCP Server, making the purpose unclear.
Attacks that exploit this kind of access
browser_type. It is categorised as a Other tool in the Amazon SageMaker AI MCP Server MCP Server, which means it performs auxiliary operations.
Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for browser_type: 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.
browser_type is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the browser_type 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 browser_type. 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.
browser_type 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.