Analyze and clean the .claude directory. Removes debug logs, empty todos, old snapshots, and orphaned data to free disk space.
AI agents call clean_claude_directory to permanently remove resources in Claude Code Toolkit — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The tool irreversibly deletes multiple types of data (debug logs, todos, snapshots, orphaned data) from the .claude directory. These deletions cannot be undone, making this Destructive. The blast radius is high because it could remove important snapshots, conversation history, or configuration data that a user may need for recovery or auditing purposes.
From the tool's definition Removes debug logs, empty todos, old snapshots, and orphaned data to free disk space
Documented attack patterns abuse exactly the kind of access clean_claude_directory gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Claude Code Toolkit, and nothing reaches the server without passing your rules. This is the rule we recommend for clean_claude_directory:
{
"version": "1",
"default": "deny",
"hide": [
"clean_claude_directory"
]
} clean_claude_directory disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Analyze and clean the .claude directory. Removes debug logs, empty todos, old snapshots, and orphaned data to free disk space. It is categorised as a Destructive tool in the Claude Code Toolkit MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Claude Code Toolkit MCP server in PolicyLayer and add a rule for clean_claude_directory: 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 Claude Code Toolkit. Nothing to install.
clean_claude_directory is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the clean_claude_directory 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 clean_claude_directory. 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.
clean_claude_directory is provided by the Claude Code Toolkit MCP server (asifkibria/claude-code-toolkit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Claude Code Toolkit, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
40 Claude Code Toolkit tools catalogued and risk-classified — across an index of 43,000+ MCP servers.