Get effective default reviewers for a repository
AI agents call getEffectiveDefaultReviewers to retrieve information from Bitbucket MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries repository configuration to return a list of default reviewers. It performs no modifications, deletions, or external operations—it simply retrieves existing metadata about the repository's review settings. The blast radius of misuse is minimal, as an AI agent could only read non-sensitive reviewer information that is typically already visible to repository members.
From the tool's definition The tool name 'getEffectiveDefaultReviewers' and description 'Get effective default reviewers for a repository' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access getEffectiveDefaultReviewers gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Bitbucket MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for getEffectiveDefaultReviewers:
{
"version": "1",
"default": "deny",
"tools": {
"getEffectiveDefaultReviewers": {}
}
}getEffectiveDefaultReviewers is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get effective default reviewers for a repository. It is categorised as a Read tool in the Bitbucket MCP MCP Server, which means it retrieves data without modifying state.
Register the Bitbucket MCP server in PolicyLayer and add a rule for getEffectiveDefaultReviewers: 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. Nothing to install.
getEffectiveDefaultReviewers is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the getEffectiveDefaultReviewers 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 getEffectiveDefaultReviewers. 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.
getEffectiveDefaultReviewers is provided by the Bitbucket MCP server (matanyemini/bitbucket-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Bitbucket MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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49 Bitbucket MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.