executeDdl

Execute DDL (create/drop) in Tsurugi RDBMS.

Server Tsurugi Python Mcp Tools septigram/tsurugi-python-mcp-tools
Category Destructive
Risk class Critical
Parameters 00 required

What executeDdl does on Tsurugi Python Mcp Tools

AI agents call executeDdl to permanently remove resources in Tsurugi Python Mcp Tools — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Why executeDdl needs a policy

DDL operations include DROP statements which permanently delete database structures and all contained data. This is irreversible and has a large blast radius — an AI agent could drop entire tables or schemas. Even CREATE can have destructive implications (e.g., CREATE OR REPLACE). The most severe applicable category is Destructive.

From the tool's definition Execute DDL (create/drop) in Tsurugi RDBMS — explicitly includes 'drop' which irreversibly destroys database objects (tables, schemas, indexes, etc.)

Questions about executeDdl

What does the executeDdl tool do? +

Execute DDL (create/drop) in Tsurugi RDBMS. It is categorised as a Destructive tool in the Tsurugi Python Mcp Tools 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 executeDdl? +

Register the Tsurugi Python Mcp Tools MCP server in PolicyLayer and add a rule for executeDdl: 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 Tsurugi Python Mcp Tools. Nothing to install.

What risk level is executeDdl? +

executeDdl 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 executeDdl? +

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

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

executeDdl is provided by the Tsurugi Python Mcp Tools MCP server (septigram/tsurugi-python-mcp-tools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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