delete_data

删除表中的数据

Server PySqlitMCP python51888/pysqlitmcp
Category Destructive
Risk class Critical
Parameters 00 required

What delete_data does on PySqlitMCP

AI agents call delete_data to permanently remove resources in PySqlitMCP — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Why delete_data needs a policy

This tool irreversibly deletes data from database tables. Even though individual row deletions might be recoverable via backups, the tool itself performs non-undoable operations on live data. Destructive category is appropriate as the most severe risk - an AI agent with access could permanently remove critical data.

From the tool's definition Tool name 'delete_data' combined with description '删除表中的数据' (delete data from table in Chinese) indicates irreversible deletion of table data. The sibling tools include 'drop_tables' (also destructive) confirming this server handles data deletion operations.

Questions about delete_data

What does the delete_data tool do? +

删除表中的数据. It is categorised as a Destructive tool in the PySqlitMCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on delete_data? +

Register the PySqlit MCP server in PolicyLayer and add a rule for delete_data: 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 PySqlitMCP. Nothing to install.

What risk level is delete_data? +

delete_data is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit delete_data? +

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

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

delete_data is provided by the PySqlit MCP server (python51888/pysqlitmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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