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PostgreSQL_execute_update_query

Execute an UPDATE, INSERT, or DELETE query.

How to control PostgreSQL_execute_update_query ↓

What PostgreSQL_execute_update_query does on Postgres

AI agents invoke PostgreSQL_execute_update_query to trigger actions in Postgres. 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 PostgreSQL_execute_update_query needs a policy

While DELETE could argue for Destructive category, the tool's primary capability spans multiple SQL operations (UPDATE, INSERT, DELETE). UPDATE and INSERT are reversible modifications (Write), but the inclusion of DELETE—which irreversibly removes data—elevates this to Execute due to the tool's broad scope and the potential for an AI agent to issue unintended DELETE commands.

From the tool's definition Tool name and description explicitly state it executes UPDATE, INSERT, or DELETE queries. UPDATE and INSERT are data-modifying operations; DELETE is destructive. The tool permits execution of arbitrary SQL commands that modify or remove data.

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

How to control PostgreSQL_execute_update_query

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

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

PostgreSQL_execute_update_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.

  1. Create a free account and register Postgres — 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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Questions about PostgreSQL_execute_update_query

What does the PostgreSQL_execute_update_query tool do? +

Execute an UPDATE, INSERT, or DELETE query. It is categorised as a Execute tool in the Postgres MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on PostgreSQL_execute_update_query? +

Register the Postgres MCP server in PolicyLayer and add a rule for PostgreSQL_execute_update_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 Postgres. Nothing to install.

What risk level is PostgreSQL_execute_update_query? +

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

Can I rate-limit PostgreSQL_execute_update_query? +

Yes. Add a rate_limit block to the PostgreSQL_execute_update_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 PostgreSQL_execute_update_query completely? +

Set action: deny in the PolicyLayer policy for PostgreSQL_execute_update_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 PostgreSQL_execute_update_query? +

PostgreSQL_execute_update_query is provided by the Postgres MCP server (mukul975/postgres-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 Postgres tool call.

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

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239 Postgres tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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