get_branching_model

get_branching_model

Server MCP Atlassian + Bitbucket jellythomas/mcp-atlassian-with-bitbucket
Category Read
Risk class Low
Parameters 00 required

What get_branching_model does on MCP Atlassian + Bitbucket

AI agents call get_branching_model to retrieve information from MCP Atlassian + Bitbucket without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_branching_model needs a policy

The 'get_' prefix strongly suggests a query/retrieval operation that returns information about branching models without modifying state. The empty description reduces confidence slightly, but the naming pattern and context (Bitbucket Git workflow tools) indicate this fetches read-only branching configuration data, consistent with other Read-category tools on this server.

From the tool's definition Tool name 'get_branching_model' indicates a retrieval operation with 'get_' prefix, consistent with sibling Read tools like 'browse_directory', 'download_attachment', and 'get_agile_boards' on this Bitbucket-integrated MCP server.

Questions about get_branching_model

What does the get_branching_model tool do? +

get_branching_model. It is categorised as a Read tool in the MCP Atlassian + Bitbucket MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_branching_model? +

Register the MCP Atlassian + Bitbucket MCP server in PolicyLayer and add a rule for get_branching_model: 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 Atlassian + Bitbucket. Nothing to install.

What risk level is get_branching_model? +

get_branching_model is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_branching_model? +

Yes. Add a rate_limit block to the get_branching_model 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 get_branching_model completely? +

Set action: deny in the PolicyLayer policy for get_branching_model. 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 get_branching_model? +

get_branching_model is provided by the MCP Atlassian + Bitbucket MCP server (jellythomas/mcp-atlassian-with-bitbucket). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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