container_optimize_image

Suggest optimizations to reduce Docker image size and build time

SERVERPlugin Hub SOURCE@barnburner121/plugin-hub-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/barnburner121-plugin-hub-mcp/container-optimize-image.md

WHAT IT DOES

What container_optimize_image does on Plugin Hub

AI agents invoke container_optimize_image to trigger actions in Plugin Hub. 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.

RISK

Why container_optimize_image is rated High

container_optimize_image triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs container_optimize_image safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Plugin Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For container_optimize_image, this is the rule to start with:

container_optimize_image Rate-limited

container_optimize_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": {
    "container_optimize_image": {
      "limits": [
        {
          "counter": "container_optimize_image_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Plugin Hub, apply this rule, and every container_optimize_image call is checked against it from then on.

FAQ

Questions about container_optimize_image

What does the container_optimize_image tool do? +

Suggest optimizations to reduce Docker image size and build time. It is categorised as a Execute tool in the Plugin Hub MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on container_optimize_image? +

Register the Plugin Hub MCP server in PolicyLayer and add a rule for container_optimize_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 Plugin Hub. Nothing to install.

What risk level is container_optimize_image? +

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

Can I rate-limit container_optimize_image? +

Yes. Add a rate_limit block to the container_optimize_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 container_optimize_image completely? +

Set action: deny in the PolicyLayer policy for container_optimize_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 container_optimize_image? +

container_optimize_image is provided by the Plugin Hub MCP server (@barnburner121/plugin-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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