approve_pull_request · Bitbucket Server MCP: Risk & Policy

WHAT IT DOES

What approve_pull_request does on Bitbucket Server MCP

AI agents use approve_pull_request to create or update resources in Bitbucket Server MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Bitbucket Server MCP environment.

WHY IT NEEDS A POLICY

Why approve_pull_request needs a policy

This tool creates or modifies data (pull request approval status) reversibly—an approval can be removed or changed. It does not execute code, delete data irreversibly, or move money. While it affects code review decisions with potential workflow implications, the action itself is reversible and represents a Write-category operation.

From the tool's definition The tool 'approve_pull_request' modifies the approval state of a pull request, which is a reversible change to metadata in a code review workflow. The description explicitly states it approves a pull request, indicating a state change operation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

approve_pull_request Rate-limited

approve_pull_request 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": {
    "approve_pull_request": {
      "limits": [
        {
          "counter": "approve_pull_request_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 Bitbucket Server MCP, so you can run agents against it safely.

FAQ

Questions about approve_pull_request

What does the approve_pull_request tool do? +

Approve a pull request. It is categorised as a Write tool in the Bitbucket Server MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on approve_pull_request? +

Register the Bitbucket Server MCP server in PolicyLayer and add a rule for approve_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 Bitbucket Server MCP. Nothing to install.

What risk level is approve_pull_request? +

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

Can I rate-limit approve_pull_request? +

Yes. Add a rate_limit block to the approve_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 approve_pull_request completely? +

Set action: deny in the PolicyLayer policy for approve_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 approve_pull_request? +

approve_pull_request is provided by the Bitbucket Server MCP server (maniksi/bitbucket-server-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.