execute_query · Redash MCP Server MCP: Risk & Policy

WHAT IT DOES

What execute_query does on Redash MCP Server

AI agents invoke execute_query to trigger actions in Redash 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 execute_query needs a policy

This tool executes queries against a data warehouse or database system. While the description suggests read-like behavior ('return results'), the act of 'executing' arbitrary queries qualifies as Execute category because: (1) it runs code/commands whose effects depend on the query content provided as arguments, (2) the query could be a READ, WRITE, or DESTRUCTIVE operation depending on what the AI agent constructs,…

From the tool's definition Tool name 'execute_query' and description 'Execute a Redash query and return results' directly indicate code/query execution.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

execute_query Rate-limited

execute_query 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": {
    "execute_query": {
      "limits": [
        {
          "counter": "execute_query_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 Redash MCP Server, so you can run agents against it safely.

FAQ

Questions about execute_query

What does the execute_query tool do? +

Execute a Redash query and return results. It is categorised as a Execute tool in the Redash 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? +

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

What risk level is execute_query? +

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

Can I rate-limit execute_query? +

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

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

execute_query is provided by the Redash MCP Server MCP server (jagadeesh52423/redash-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.