High Risk →

execute_query_to_file

Execute a query and stream results to a file at a chosen path.

How to control execute_query_to_file ↓

What execute_query_to_file does on Snowflake MCP Server

AI agents invoke execute_query_to_file to trigger actions in Snowflake 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.

High Risk

Why execute_query_to_file needs a policy

This tool both executes queries (which could include destructive SQL despite the server's 'read-only' claim) and writes to arbitrary file paths on the filesystem. The combination of query execution and file-system write access elevates this beyond a simple Read or Write operation. An AI agent could misuse this to exfiltrate data to attacker-controlled paths or overwrite sensitive files.

From the tool's definition 'Execute a query and stream results to a file at a chosen path' — runs arbitrary queries AND writes output to a filesystem path chosen by the caller

Documented attack patterns abuse exactly the kind of access execute_query_to_file gives an agent:

How to control execute_query_to_file

PolicyLayer is an MCP gateway — it sits between your AI agents and Snowflake MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for execute_query_to_file:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_query_to_file": {
      "limits": [
        {
          "counter": "execute_query_to_file_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

execute_query_to_file 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.

  1. Create a free account and register Snowflake MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about execute_query_to_file

What does the execute_query_to_file tool do? +

Execute a query and stream results to a file at a chosen path. It is categorised as a Execute tool in the Snowflake 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 execute_query_to_file? +

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

What risk level is execute_query_to_file? +

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

Can I rate-limit execute_query_to_file? +

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

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

execute_query_to_file is provided by the Snowflake MCP Server MCP server (ncejda-g2/snowflake_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Snowflake MCP Server tool call.

Start from Snowflake MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

7 Snowflake MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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