Remove change request from a pull request
AI agents use remove_requested_changes to create or update resources in Bitbucket MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Bitbucket MCP Server environment.
This tool removes a previously submitted change request (request for changes review state) from a pull request. This is a reversible modification to the PR review state - the change request can be re-added. It modifies PR metadata but does not delete code, branches, or irreversible data, making it a Write operation.
From the tool's definition Remove change request from a pull request
Attacks that exploit this kind of access
Remove change request from a pull request. It is categorised as a Write tool in the Bitbucket MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Bitbucket MCP Server MCP server in PolicyLayer and add a rule for remove_requested_changes: 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 Bitbucket MCP Server. Nothing to install.
remove_requested_changes 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 remove_requested_changes 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 remove_requested_changes. 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.
remove_requested_changes is provided by the Bitbucket MCP Server MCP server (zhanglc/bitbucket-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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