analyze_query_results · DataPilot MCP Server MCP

WHAT IT DOES

What analyze_query_results does on DataPilot MCP Server

AI agents invoke analyze_query_results to trigger actions in DataPilot 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 analyze_query_results needs a policy

The tool runs SQL queries against a live Snowflake database, which constitutes execution with potential side effects depending on the query. Since it both executes arbitrary SQL and then analyzes results, it falls into Execute. The blast radius is high because an AI agent could run destructive or data-exfiltrating queries through this interface.

From the tool's definition 'Execute a query and analyze its results' — the tool explicitly executes a query against the Snowflake database

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

analyze_query_results Rate-limited

analyze_query_results 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": {
    "analyze_query_results": {
      "limits": [
        {
          "counter": "analyze_query_results_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 DataPilot MCP Server, so you can run agents against it safely.

FAQ

Questions about analyze_query_results

What does the analyze_query_results tool do? +

Execute a query and analyze its results using AI. It is categorised as a Execute tool in the DataPilot 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 analyze_query_results? +

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

What risk level is analyze_query_results? +

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

Can I rate-limit analyze_query_results? +

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

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

analyze_query_results is provided by the DataPilot MCP Server MCP server (rickyb30/datapilot-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.