uv-run

Runs a command in a uv-managed environment and returns structured output.

SERVERDocker SOURCE@paretools/docker

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/io-github-dave-london-docker/uv-run.md

WHAT IT DOES

What uv-run does on Docker

AI agents invoke uv-run to trigger actions in Docker. 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 uv-run is rated High

This tool permits execution of arbitrary commands within a uv-managed Python environment. While sandboxed to that environment, it enables running code whose side effects depend entirely on the command arguments provided by an AI agent. This creates significant risk of unintended system operations, data exfiltration, or resource consumption.

From the tool's definition Tool name 'uv-run' combined with description 'Runs a command in a uv-managed environment' indicates arbitrary command execution. The phrase 'runs a command' is characteristic of Execute category tools.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs uv-run safely

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

uv-run Rate-limited

uv-run 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": {
    "uv-run": {
      "limits": [
        {
          "counter": "uv-run_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 Docker, apply this rule, and every uv-run call is checked against it from then on.

FAQ

Questions about uv-run

What does the uv-run tool do? +

Runs a command in a uv-managed environment and returns structured output. It is categorised as a Execute tool in the Docker MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on uv-run? +

Register the Docker MCP server in PolicyLayer and add a rule for uv-run: 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 Docker. Nothing to install.

What risk level is uv-run? +

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

Can I rate-limit uv-run? +

Yes. Add a rate_limit block to the uv-run 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 uv-run completely? +

Set action: deny in the PolicyLayer policy for uv-run. 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 uv-run? +

uv-run is provided by the Docker MCP server (@paretools/docker). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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