update_pull_request · GitHub See MCP Server MCP

WHAT IT DOES

What update_pull_request does on GitHub See MCP Server

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

WHY IT NEEDS A POLICY

Why update_pull_request needs a policy

This tool creates or modifies data (a pull request's title, description, state, or other metadata) in a reversible manner. It does not execute arbitrary code, delete data irreversibly, or move money. While PRs are important artifacts in software development, the modification itself is non-destructive and can be corrected.

From the tool's definition Tool name 'update_pull_request' and description 'Update an existing pull request in a GitHub repository' indicate modification of existing data. The action is reversible—PR updates can be undone, edited, or reverted.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_pull_request Rate-limited

update_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": {
    "update_pull_request": {
      "limits": [
        {
          "counter": "update_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 GitHub See MCP Server, so you can run agents against it safely.

FAQ

Questions about update_pull_request

What does the update_pull_request tool do? +

Update an existing pull request in a GitHub repository. It is categorised as a Write tool in the GitHub See MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_pull_request? +

Register the GitHub See MCP Server MCP server in PolicyLayer and add a rule for update_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 GitHub See MCP Server. Nothing to install.

What risk level is update_pull_request? +

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

Can I rate-limit update_pull_request? +

Yes. Add a rate_limit block to the update_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 update_pull_request completely? +

Set action: deny in the PolicyLayer policy for update_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 update_pull_request? +

update_pull_request is provided by the GitHub See MCP Server MCP server (jesusmaster/github-see-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.