Low Risk

get_pull_request

Get details of a pull request (GitHub) or merge request (GitLab). Auto-detects platform from URL. Returns PR metadata, comments, and file changes.

How to control get_pull_request ↓

AI agents call get_pull_request to retrieve information from Preloop without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Even though get_pull_request only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_pull_request": {}
  }
}

get_pull_request is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Preloop — 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.
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Go deeper

What does the get_pull_request tool do? +

Get details of a pull request (GitHub) or merge request (GitLab). Auto-detects platform from URL. Returns PR metadata, comments, and file changes. It is categorised as a Read tool in the Preloop MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_pull_request? +

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

What risk level is get_pull_request? +

get_pull_request is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_pull_request? +

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

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

get_pull_request is provided by the Preloop MCP server (preloop/preloop). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Preloop tool call.

Deterministic rules across all 15 Preloop tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

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