finch_build_container_image

THE RISK

High Risk

Why finch_build_container_image needs a policy

Container image building is an Execute operation: it runs build commands/scripts whose effects depend on the build context and arguments provided. While not immediately destructive or financial, it can consume resources, modify artifacts, and trigger downstream operations.

From the tool's definition Tool name 'finch_build_container_image' indicates execution of container image builds. Finch is a container runtime tool; building container images involves executing build processes with external effects.

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

POLICY

How to control finch_build_container_image

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

policy.json

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

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.

Create a free account and register Prometheus MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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All 805 Prometheus MCP Server tools →

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Go deeper

High-risk tools in Prometheus MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

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 Prometheus 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 Prometheus 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 Prometheus 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 Prometheus MCP Server MCP server (awslabs.prometheus-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 Prometheus MCP Server tool call.

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

CHECK YOUR STACK →