할 일을 삭제합니다.
AI agents call db_todo_delete to permanently remove resources in K-Personal MCP — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The tool performs an irreversible delete operation on user data (todo items) stored in a personal database. Once deleted, the data cannot be recovered through normal means. This is a Destructive action (not merely Write) because it permanently removes records.
From the tool's definition Tool name 'db_todo_delete' and description 'delete a todo' indicates irreversible deletion of data from the personal SQLite database.
Attacks that exploit this kind of access
할 일을 삭제합니다. It is categorised as a Destructive tool in the K-Personal MCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the K-Personal MCP server in PolicyLayer and add a rule for db_todo_delete: 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 K-Personal MCP. Nothing to install.
db_todo_delete 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 db_todo_delete 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 db_todo_delete. 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.
db_todo_delete is provided by the K-Personal MCP server (lee30934-byte/k-personal-mcp). 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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