Medium Risk

create_pull_request

Create a new pull request

How to control create_pull_request ↓

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

Medium Risk

The tool creates new data (a pull request) in Azure DevOps, which is a reversible Write operation. It does not execute arbitrary code, delete data, or move funds. Severity is medium because a malicious agent could create numerous PRs to disrupt workflow or inject malicious code proposals, but PRs themselves can be reviewed and rejected before merging.

From the tool's definition Tool name 'create_pull_request' and description 'Create a new pull request' indicate creation of a new artifact that modifies the state of the repository/project.

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_pull_request": {
      "limits": [
        {
          "counter": "create_pull_request_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

create_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.

  1. Create a free account and register Azure DevOps MCP Server for Cline — 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 create_pull_request tool do? +

Create a new pull request. It is categorised as a Write tool in the Azure DevOps MCP Server for Cline MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_pull_request? +

Register the Azure DevOps MCP Server for Cline MCP server in PolicyLayer and add a rule for create_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 Azure DevOps MCP Server for Cline. Nothing to install.

What risk level is create_pull_request? +

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

Can I rate-limit create_pull_request? +

Yes. Add a rate_limit block to the create_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 create_pull_request completely? +

Set action: deny in the PolicyLayer policy for create_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 create_pull_request? +

create_pull_request is provided by the Azure DevOps MCP Server for Cline MCP server (stefanskiasan/azure-devops-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Azure DevOps MCP Server for Cline tool call.

Deterministic rules across all 15 Azure DevOps MCP Server for Cline tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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15 Azure DevOps MCP Server for Cline tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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