AI agents use createPullRequest to create or update resources in Azure Devops — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Azure Devops environment.
Creating a pull request is a write operation that creates new data (the PR object) in the repository system. While it can trigger workflows and CI/CD pipelines, the primary action is creating a new reversible entity. This is less severe than Execute (which would run arbitrary code) or Destructive (which would delete code).
From the tool's definition Tool name is 'createPullRequest' and description states 'Create a new pull request'. This creates a new code review object in the repository, which is a reversible modification to the Azure DevOps system.
Documented attack patterns abuse exactly the kind of access createPullRequest gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Azure Devops, and nothing reaches the server without passing your rules. This is the rule we recommend for createPullRequest:
{
"version": "1",
"default": "deny",
"tools": {
"createPullRequest": {
"limits": [
{
"counter": "createpullrequest_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}createPullRequest 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.
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Create a new pull request. It is categorised as a Write tool in the Azure Devops MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Azure Devops MCP server in PolicyLayer and add a rule for createPullRequest: 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. Nothing to install.
createPullRequest is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the createPullRequest 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.
Set action: deny in the PolicyLayer policy for createPullRequest. 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.
createPullRequest is provided by the Azure Devops MCP server (ryancardin15/azuredevops-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 97 Azure Devops tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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97 Azure Devops tools catalogued and risk-classified — across an index of 42,500+ MCP servers.