High Risk →

executeQuery

Execute SELECT queries (read-only)

Accepts freeform code/query input (query)

Part of the Postgres Scout MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

postgres-scout-mcp Execute Risk 4/5

AI agents invoke executeQuery to trigger processes or run actions in Postgres Scout. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

executeQuery can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

io-github-bluwork-postgres-scout-mcp.yaml
tools:
  executeQuery:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Postgres Scout policy for all 38 tools.

Tool Name executeQuery
Category Execute
Risk Level High

View all 38 tools →

Agents calling execute-class tools like executeQuery have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

executeQuery is one of the high-risk operations in Postgres Scout. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the executeQuery tool do? +

Execute SELECT queries (read-only). It is categorised as a Execute tool in the Postgres Scout MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on executeQuery? +

Add a rule in your Intercept YAML policy under the tools section for executeQuery. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Postgres Scout MCP server.

What risk level is executeQuery? +

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

Can I rate-limit executeQuery? +

Yes. Add a rate_limit block to the executeQuery rule in your Intercept 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 executeQuery completely? +

Set action: deny in the Intercept policy for executeQuery. 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 executeQuery? +

executeQuery is provided by the Postgres Scout MCP server (postgres-scout-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Postgres Scout

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.