finch_build_container_image · Amazon MQ MCP Server MCP

WHAT IT DOES

What finch_build_container_image does on Amazon MQ MCP Server

AI agents invoke finch_build_container_image to trigger actions in Amazon MQ MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why finch_build_container_image needs a policy

Building a container image is an Execute-class action—it triggers external operations (image compilation, potential code execution in build context) whose effects depend on arguments provided to the tool. While the empty description reduces confidence slightly, the semantic meaning of 'build' combined with 'container_image' clearly indicates execution rather than simple data retrieval.

From the tool's definition Tool name 'finch_build_container_image' indicates execution of container image builds; no description provided but the naming pattern strongly suggests triggering a build operation with external side effects.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

finch_build_container_image Rate-limited

finch_build_container_image stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "finch_build_container_image": {
      "limits": [
        {
          "counter": "finch_build_container_image_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about finch_build_container_image

What does the finch_build_container_image tool do? +

finch_build_container_image. It is categorised as a Execute tool in the Amazon MQ MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on finch_build_container_image? +

Register the Amazon MQ MCP Server MCP server in PolicyLayer and add a rule for finch_build_container_image: 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 MQ MCP Server. Nothing to install.

What risk level is finch_build_container_image? +

finch_build_container_image is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit finch_build_container_image? +

Yes. Add a rate_limit block to the finch_build_container_image 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 finch_build_container_image completely? +

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

finch_build_container_image is provided by the Amazon MQ MCP Server MCP server (awslabs.amazon-mq-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.