AI agents use pr_resolve to create or update resources in Pr Review — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pr Review environment.
Marking a review thread as resolved modifies metadata/state on GitHub pull requests but does not delete data or execute arbitrary code. The operation is reversible (threads can be unresolvedif needed), making it a Write action rather than Destructive.
From the tool's definition Tool name 'pr_resolve' and description 'Mark a review thread as resolved' indicate modifying the state of a review thread on GitHub. This is a reversible state change operation.
Attacks that exploit this kind of access
Mark a review thread as resolved. It is categorised as a Write tool in the Pr Review MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Pr Review MCP server in PolicyLayer and add a rule for pr_resolve: 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 Pr Review. Nothing to install.
pr_resolve 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 pr_resolve 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 pr_resolve. 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.
pr_resolve is provided by the Pr Review MCP server (thebtf/pr-review-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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