DML_MANAGER · Snowflake Cortex AI MCP Server MCP

WHAT IT DOES

What DML_MANAGER does on Snowflake Cortex AI MCP Server

AI agents invoke DML_MANAGER to trigger actions in Snowflake Cortex AI MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why DML_MANAGER needs a policy

DML operations trigger modifications to data with effects determined by the SQL statements provided as arguments. While DML is not inherently destructive (unlike DDL DROP/DELETE), it is Execute-category because it modifies state based on user-supplied logic and can have unintended consequences if an AI agent constructs or executes malicious or incorrect DML statements (e.g., UPDATE without WHERE clauses, bulk…

From the tool's definition Tool name 'DML_MANAGER' with description 'Execute DML operations in Snowflake'. DML (Data Manipulation Language) encompasses INSERT, UPDATE, DELETE, and MERGE commands that modify data within tables.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

DML_MANAGER Rate-limited

DML_MANAGER stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "DML_MANAGER": {
      "limits": [
        {
          "counter": "dml_manager_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about DML_MANAGER

What does the DML_MANAGER tool do? +

Execute DML operations in Snowflake. It is categorised as a Execute tool in the Snowflake Cortex AI MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on DML_MANAGER? +

Register the Snowflake Cortex AI MCP Server MCP server in PolicyLayer and add a rule for DML_MANAGER: 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 Snowflake Cortex AI MCP Server. Nothing to install.

What risk level is DML_MANAGER? +

DML_MANAGER is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit DML_MANAGER? +

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

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

DML_MANAGER is provided by the Snowflake Cortex AI MCP Server MCP server (sfc-gh-tgordonjr/mcp-snow-tg). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.