query_database · Db Oauth MCP: Risk & Policy

WHAT IT DOES

What query_database does on Db Oauth

AI agents invoke query_database to trigger actions in Db Oauth. 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 query_database needs a policy

Although described as read-only, the tool executes arbitrary SQL queries against a database backend. The server claims read-only enforcement, but 'execute' is the operative action. If the read-only constraint is bypassed or misconfigured, an agent could extract sensitive data at scale. The blast radius is high given potential access to sensitive database contents, even if writes/deletes are prevented.

From the tool's definition 'Execute a read-only SQL query against one of the configured database connections' — the tool actively executes SQL queries against a database.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

query_database Rate-limited

query_database 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": {
    "query_database": {
      "limits": [
        {
          "counter": "query_database_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 Db Oauth, so you can run agents against it safely.

FAQ

Questions about query_database

What does the query_database tool do? +

Execute a read-only SQL query against one of the configured database connections. It is categorised as a Execute tool in the Db Oauth MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on query_database? +

Register the Db Oauth MCP server in PolicyLayer and add a rule for query_database: 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 Db Oauth. Nothing to install.

What risk level is query_database? +

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

Can I rate-limit query_database? +

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

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

query_database is provided by the Db Oauth MCP server (kpconnell/db-oauth-mcp-node). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.