optimize_bundle · MCP Software Engineer MCP: Risk & Policy

WHAT IT DOES

What optimize_bundle does on MCP Software Engineer

AI agents use optimize_bundle to create or update resources in MCP Software Engineer — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Software Engineer environment.

WHY IT NEEDS A POLICY

Why optimize_bundle needs a policy

The tool modifies build configuration files, which constitutes data modification. It is reversible (configurations can be reverted), so it is Write rather than Destructive. The severity is medium because misconfiguration could break builds or degrade application performance, but would not cause data loss or security breaches.

From the tool's definition Tool modifies bundle configuration (webpack/vite) as indicated by 'Optimize webpack/vite bundle configuration'. Configuration changes are typically written to files and affect build output.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

optimize_bundle Rate-limited

optimize_bundle stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "optimize_bundle": {
      "limits": [
        {
          "counter": "optimize_bundle_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about optimize_bundle

What does the optimize_bundle tool do? +

Optimize webpack/vite bundle configuration. It is categorised as a Write tool in the MCP Software Engineer MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on optimize_bundle? +

Register the MCP Software Engineer MCP server in PolicyLayer and add a rule for optimize_bundle: 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 MCP Software Engineer. Nothing to install.

What risk level is optimize_bundle? +

optimize_bundle is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit optimize_bundle? +

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

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

optimize_bundle is provided by the MCP Software Engineer MCP server (rajawatrajat/mcp-software-engineer). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.