update_pull_request

Update a pull request title, description, or destination branch.

Server Bitbucket Cloud MCP Server lexmata/bitbucket-mcp
Category Write
Risk class Medium
Parameters 00 required

What update_pull_request does on Bitbucket Cloud MCP Server

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

Why update_pull_request needs a policy

This tool modifies PR metadata (title, description, destination branch) but does not delete data or execute arbitrary code. Changes are reversible and non-destructive. While PR updates can influence code review processes and CI/CD pipelines (especially destination branch changes), the tool itself only performs data modification without triggering execution or deletion.

From the tool's definition update_pull_request updates pull request title, description, or destination branch. These are reversible modifications to pull request metadata and configuration.

Questions about update_pull_request

What does the update_pull_request tool do? +

Update a pull request title, description, or destination branch. It is categorised as a Write tool in the Bitbucket Cloud 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 Bitbucket Cloud 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 Bitbucket Cloud 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 Bitbucket Cloud MCP Server MCP server (lexmata/bitbucket-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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