create_tables · PySqlit MCP: Risk & Policy

WHAT IT DOES

What create_tables does on PySqlitMCP

AI agents use create_tables to create or update resources in PySqlitMCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your PySqlitMCP environment.

WHY IT NEEDS A POLICY

Why create_tables needs a policy

Creating tables modifies database schema reversibly—it is a Write operation. While not immediately destructive, incorrect table creation could impact downstream operations. Severity is medium because blast radius depends on database importance and subsequent data operations, but schema changes are generally recoverable via drop/recreate.

From the tool's definition Tool name 'create_tables' combined with server description stating 'table operations' and 'data CRUD operations' indicates this tool creates database tables.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_tables Rate-limited

create_tables stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_tables": {
      "limits": [
        {
          "counter": "create_tables_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches PySqlitMCP, so you can run agents against it safely.

FAQ

Questions about create_tables

What does the create_tables tool do? +

create_tables. It is categorised as a Write tool in the PySqlitMCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_tables? +

Register the PySqlit MCP server in PolicyLayer and add a rule for create_tables: 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 create_tables? +

create_tables is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_tables? +

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

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

create_tables 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.