pull_request_review_write
Create and/or submit, delete review of a pull request. Available methods: - create: Create a new review of a pull request. If "event" parameter is provided, the review is submitted. If "event" is omitted, a pending review is created. - submit_pending: Submit an existing pending review of a pull r...
This record as markdown: /tools/github/pull-request-review-write.md
What pull_request_review_write does on GitHub
AI agents use pull_request_review_write to create or update resources in GitHub, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GitHub environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
body | string | — | Review comment text |
repo | string | — | Repository name |
event | string | — | Review action to perform. |
owner | string | — | Repository owner |
method | string | — | The write operation to perform on pull request review. |
commitID | string | — | SHA of commit to review |
pullNumber | number | — | Pull request number |
Parameters from the server's own tool schema.
Why pull_request_review_write is rated Medium
The tool creates and modifies pull request reviews, which are reversible actions. While it includes a delete operation, deleting a review is a standard reversible write operation on a pull request (reviews can be recreated). This is Write category rather than Destructive because PR reviews are transient artifacts designed to be created, modified, and removed as part of normal workflow.
From the tool's definition Tool description states 'Create and/or submit, delete review of a pull request' with methods including 'create' (new review), 'submit_pending' (submit review), and 'delete_pending' (delete review).
Risk signalsAccepts raw HTML/template content (body)
Attacks that exploit this kind of access
The rule that runs pull_request_review_write safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GitHub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pull_request_review_write, this is the rule to start with:
pull_request_review_write 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.
The button opens the PolicyLayer dashboard: create your workspace, connect GitHub, apply this rule, and every pull_request_review_write call is checked against it from then on.
Questions about pull_request_review_write
Create and/or submit, delete review of a pull request. Available methods: - create: Create a new review of a pull request. If "event" parameter is provided, the review is submitted. If "event" is omitted, a pending review is created. - submit_pending: Submit an existing pending review of a pull request. This requires that a pending review exists for the current user on the specified pull request. The "body" and "event" parameters are used when submitting the review. - delete_pending: Delete an existing pending review of a pull request. This requires that a pending review exists for the current user on the specified pull request. It is categorised as a Write tool in the GitHub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
pull_request_review_write accepts 7 parameters: body, repo, event, owner, method, commitID, pullNumber. The full parameter table on this page comes from the server's own tool schema.
Register the GitHub MCP server in PolicyLayer and add a rule for pull_request_review_write: 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. Nothing to install.
pull_request_review_write 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 pull_request_review_write 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 pull_request_review_write. 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.
pull_request_review_write is provided by the GitHub MCP server (oci:ghcr.io/github/github-mcp-server:1.3.0). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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