Medium Risk

safeUpdate

Execute UPDATE with safety guards: dry-run mode, maxRows limit, empty WHERE protection

Part of the Postgres Scout server.

safeUpdate can modify Postgres Scout 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 safeUpdate to create or modify resources in Postgres Scout. 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 safeUpdate 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 Postgres Scout.

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

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

See the full Postgres Scout policy for all 38 tools.

Get this rule live on your own Postgres Scout server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 38 tools →

These attack patterns abuse exactly the kind of access safeUpdate 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 safeUpdate 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 safeUpdate tool do? +

Execute UPDATE with safety guards: dry-run mode, maxRows limit, empty WHERE protection. It is categorised as a Write tool in the Postgres Scout MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on safeUpdate? +

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

What risk level is safeUpdate? +

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

Can I rate-limit safeUpdate? +

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

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

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

Enforce policy on every Postgres Scout tool call.

Deterministic rules across all 38 Postgres Scout tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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