manage_aws_glue_connection_types
AI agents call manage_aws_glue_connection_types as a supporting operation in Amazon SageMaker AI MCP Server workflows.
The description is empty, providing no information about what this tool does. Based solely on the name, 'manage' is ambiguous—it could imply Read, Write, or even Destructive operations on AWS Glue connection types. Without further information, classifying as Other with low confidence. The 'manage' prefix and AWS Glue context suggest Write-level operations at minimum, but cannot be certain.
From the tool's definition Tool name: manage_aws_glue_connection_types. Description is empty.
Attacks that exploit this kind of access
manage_aws_glue_connection_types. 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 manage_aws_glue_connection_types: 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.
manage_aws_glue_connection_types 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 manage_aws_glue_connection_types 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 manage_aws_glue_connection_types. 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.
manage_aws_glue_connection_types 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.