containerize_app
AI agents call containerize_app as a supporting operation in AWS Labs Amazon Q Business anonymous mode MCP Server workflows.
With no description available, classification is uncertain. The name 'containerize_app' suggests it may build or create container images, which would be a Write/Execute action. However, without confirmation, confidence is low. Defaulting to Other with medium severity due to the potential for significant side effects if it executes containerization processes.
From the tool's definition Tool description is empty and uninformative; tool name 'containerize_app' suggests packaging an application into a container
Documented attack patterns abuse exactly the kind of access containerize_app gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Labs Amazon Q Business anonymous mode MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for containerize_app:
{
"version": "1",
"default": "deny",
"tools": {
"containerize_app": {
"limits": [
{
"counter": "containerize_app_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
} containerize_app gets a rate cap, and everything else on the server is denied unless you say otherwise.
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containerize_app. It is categorised as a Other tool in the AWS Labs Amazon Q Business anonymous mode MCP Server MCP Server, which means it performs auxiliary operations.
Register the AWS Labs Amazon Q Business anonymous mode MCP Server MCP server in PolicyLayer and add a rule for containerize_app: 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 AWS Labs Amazon Q Business anonymous mode MCP Server. Nothing to install.
containerize_app 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 containerize_app 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 containerize_app. 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.
containerize_app is provided by the AWS Labs Amazon Q Business anonymous mode MCP Server MCP server (awslabs.amazon-qbusiness-anonymous-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Labs Amazon Q Business anonymous mode MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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805 AWS Labs Amazon Q Business anonymous mode MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.