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finch_push_image

finch_push_image

How to control finch_push_image ↓

What finch_push_image does on Amazon Translate MCP Server

AI agents invoke finch_push_image to trigger actions in Amazon Translate 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.

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Why finch_push_image needs a policy

The name suggests pushing a container image (likely using Finch, a container tool), which is an external operation that uploads/pushes data to a registry. This falls under Execute (triggering external operations). However, since the description is empty, confidence is low. The severity is high because pushing images to a container registry can have significant security implications if misused.

From the tool's definition Tool name is 'finch_push_image'; description is empty or uninformative.

Documented attack patterns abuse exactly the kind of access finch_push_image gives an agent:

How to control finch_push_image

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Translate MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for finch_push_image:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "finch_push_image": {
      "limits": [
        {
          "counter": "finch_push_image_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

finch_push_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.

  1. Create a free account and register Amazon Translate MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about finch_push_image

What does the finch_push_image tool do? +

finch_push_image. It is categorised as a Execute tool in the Amazon Translate 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_push_image? +

Register the Amazon Translate MCP Server MCP server in PolicyLayer and add a rule for finch_push_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 Translate MCP Server. Nothing to install.

What risk level is finch_push_image? +

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

Can I rate-limit finch_push_image? +

Yes. Add a rate_limit block to the finch_push_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_push_image completely? +

Set action: deny in the PolicyLayer policy for finch_push_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_push_image? +

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

Enforce policy on every Amazon Translate MCP Server tool call.

Start from Amazon Translate MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

805 Amazon Translate MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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