High Risk →

install_python_packages

Install additional Python packages using the shared package manager (uv). Args: packages: Space-separated package list. upgrade: If True, perform upgrades when applicable.

How to control install_python_packages ↓

AI agents invoke install_python_packages to trigger actions in Pwno. 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.

High Risk

Installing Python packages executes external operations (package manager invocations, network fetches, file system writes) that can introduce arbitrary code into the environment. This goes beyond a simple write—it triggers execution of install scripts and can affect system state. Not destructive by default, but misuse could introduce malicious packages.

From the tool's definition Install additional Python packages using the shared package manager (uv)

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

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

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

install_python_packages 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 Pwno — 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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Go deeper

What does the install_python_packages tool do? +

Install additional Python packages using the shared package manager (uv). Args: packages: Space-separated package list. upgrade: If True, perform upgrades when applicable. It is categorised as a Execute tool in the Pwno MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on install_python_packages? +

Register the Pwno MCP server in PolicyLayer and add a rule for install_python_packages: 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 Pwno. Nothing to install.

What risk level is install_python_packages? +

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

Can I rate-limit install_python_packages? +

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

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

install_python_packages is provided by the Pwno MCP server (pwno-io/pwno-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pwno tool call.

Deterministic rules across all 36 Pwno tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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36 Pwno tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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