pr-update

Updates pull request metadata (title, body, labels, assignees, reviewers, milestone, base branch, projects). Returns structured data with PR number and URL.

SERVERDocker SOURCE@paretools/docker

Medium RISK CLASS

Category Write

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/pr-update.md

WHAT IT DOES

What pr-update does on Docker

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

RISK

Why pr-update is rated Medium

This tool modifies repository metadata (PR title, body, labels, assignees, reviewers, milestone, base branch, projects) but does not delete data or execute arbitrary code. These changes are reversible—fields can be updated again to previous values.

From the tool's definition Tool updates pull request metadata including title, body, labels, assignees, reviewers, milestone, base branch, and projects. The description explicitly states it 'Updates' these fields, which are reversible modifications to repository collaboration data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs pr-update 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 pr-update, this is the rule to start with:

pr-update Rate-limited

pr-update 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": {
    "pr-update": {
      "limits": [
        {
          "counter": "pr-update_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Docker, apply this rule, and every pr-update call is checked against it from then on.

FAQ

Questions about pr-update

What does the pr-update tool do? +

Updates pull request metadata (title, body, labels, assignees, reviewers, milestone, base branch, projects). Returns structured data with PR number and URL. It is categorised as a Write tool in the Docker MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on pr-update? +

Register the Docker MCP server in PolicyLayer and add a rule for pr-update: 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 pr-update? +

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

Can I rate-limit pr-update? +

Yes. Add a rate_limit block to the pr-update 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 pr-update completely? +

Set action: deny in the PolicyLayer policy for pr-update. 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 pr-update? +

pr-update 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.

KEEP EXPLORING

More on Docker, and thousands of servers like it.

This server

All 202 Docker tools →

Across the catalogue

aroflo_create_or_update_record on AroFlo MCP →team_manager_update_budget on Team Manager MCP → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →