bundle-install · Python MCP: Risk & Policy

WHAT IT DOES

What bundle-install does on Python

AI agents use bundle-install to create or update resources in Python — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Python environment.

WHY IT NEEDS A POLICY

Why bundle-install needs a policy

Bundle-install performs a package installation, which creates and modifies files/dependencies on the system reversibly (packages can be uninstalled). This is a Write operation rather than Execute because the action itself is a well-defined package management operation, not arbitrary code execution.

From the tool's definition Tool name is 'bundle-install' and description states 'Installs Gemfile dependencies' — a write operation that modifies the system by adding packages/dependencies.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

bundle-install Rate-limited

bundle-install 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": {
    "bundle-install": {
      "limits": [
        {
          "counter": "bundle-install_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 Python, so you can run agents against it safely.

FAQ

Questions about bundle-install

What does the bundle-install tool do? +

Installs Gemfile dependencies using. It is categorised as a Write tool in the Python MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on bundle-install? +

Register the Python MCP server in PolicyLayer and add a rule for bundle-install: 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 Python. Nothing to install.

What risk level is bundle-install? +

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

Can I rate-limit bundle-install? +

Yes. Add a rate_limit block to the bundle-install 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 bundle-install completely? +

Set action: deny in the PolicyLayer policy for bundle-install. 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 bundle-install? +

bundle-install is provided by the Python MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

bundle-install is one line of Python's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

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