AI agents use bitbucket_approve_pull_request to create or update resources in Mcp Bitbucket — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Bitbucket environment.
Approving a pull request is a Write operation because it creates/modifies metadata (approval record) reversibly without destructive side effects. While it can influence code merging decisions, the action itself is reversible (approval can be withdrawn).
From the tool's definition Tool name and description indicate it 'Approves a Bitbucket pull request', which modifies the approval status of a pull request—a reversible state change in the repository's review workflow.
Documented attack patterns abuse exactly the kind of access bitbucket_approve_pull_request gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Bitbucket, and nothing reaches the server without passing your rules. This is the rule we recommend for bitbucket_approve_pull_request:
{
"version": "1",
"default": "deny",
"tools": {
"bitbucket_approve_pull_request": {
"limits": [
{
"counter": "bitbucket_approve_pull_request_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} bitbucket_approve_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.
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Approves a Bitbucket pull request. It is categorised as a Write tool in the Mcp Bitbucket MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Bitbucket MCP server in PolicyLayer and add a rule for bitbucket_approve_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 Mcp Bitbucket. Nothing to install.
bitbucket_approve_pull_request 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 bitbucket_approve_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.
Set action: deny in the PolicyLayer policy for bitbucket_approve_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.
bitbucket_approve_pull_request is provided by the Mcp Bitbucket MCP server (n11techhub/mcp-bitbucket). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Bitbucket, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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18 Mcp Bitbucket tools catalogued and risk-classified — across an index of 43,000+ MCP servers.