重複ファイルを自動削除します
AI agents call clean_duplicates to permanently remove resources in Claude MCP Server Integration — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The tool automatically deletes duplicate files, which is an irreversible destructive operation. File deletion cannot be undone without a backup, and 'auto' deletion implies it may act on multiple files without per-file confirmation, increasing the blast radius significantly.
From the tool's definition 重複ファイルを自動削除します — 'auto-delete duplicate files'
Attacks that exploit this kind of access
重複ファイルを自動削除します. It is categorised as a Destructive tool in the Claude MCP Server Integration MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Claude MCP Server Integration MCP server in PolicyLayer and add a rule for clean_duplicates: 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 MCP Server Integration. Nothing to install.
clean_duplicates 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_duplicates 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_duplicates. 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_duplicates is provided by the Claude MCP Server Integration MCP server (mokemoke0821/claude-mcp-integration). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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