treehouse_init

Initialize treehouse configuration in the current repository

Server Treehouse Worktree mark-hingston/treehouse-worktree
Category Write
Risk class Medium
Parameters 00 required

What treehouse_init does on Treehouse Worktree

AI agents use treehouse_init to create or update resources in Treehouse Worktree — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Treehouse Worktree environment.

Why treehouse_init needs a policy

This tool creates or modifies treehouse configuration files in the repository, which is a reversible write operation. While it affects repository state, it does not execute arbitrary code, delete data irreversibly, or move money. The severity is medium because misconfiguration could affect repository coordination, but the effects are generally reversible through reconfiguration or cleanup.

From the tool's definition Tool name 'treehouse_init' and description 'Initialize treehouse configuration in the current repository' indicate creation and modification of configuration data in the repository.

Questions about treehouse_init

What does the treehouse_init tool do? +

Initialize treehouse configuration in the current repository. It is categorised as a Write tool in the Treehouse Worktree MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on treehouse_init? +

Register the Treehouse Worktree MCP server in PolicyLayer and add a rule for treehouse_init: 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 Treehouse Worktree. Nothing to install.

What risk level is treehouse_init? +

treehouse_init is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit treehouse_init? +

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

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

treehouse_init is provided by the Treehouse Worktree MCP server (mark-hingston/treehouse-worktree). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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