Medium Risk

pg_update_records

Update records matching a filter. IMPORTANT: filter is required to prevent accidental full-table updates. Use return="representation" to see updated records.

Part of the Postgrest server.

pg_update_records can modify Postgrest data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use pg_update_records to create or modify resources in Postgrest. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call pg_update_records repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Postgrest.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "pg_update_records": {
      "limits": [
        {
          "counter": "pg_update_records_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access pg_update_records gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so pg_update_records only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the pg_update_records tool do? +

Update records matching a filter. IMPORTANT: filter is required to prevent accidental full-table updates. Use return="representation" to see updated records.. It is categorised as a Write tool in the Postgrest MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on pg_update_records? +

Register the Postgrest MCP server in PolicyLayer and add a rule for pg_update_records: 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 Postgrest. Nothing to install.

What risk level is pg_update_records? +

pg_update_records is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit pg_update_records? +

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

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

pg_update_records is provided by the Postgrest MCP server (@supabase/mcp-server-postgrest). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Postgrest tool call.

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