High Risk →

safari_evaluate

Execute JavaScript in the current page. Automatically falls back to AppleScript when CSP blocks execution (e.g. Google Search Console, LinkedIn). For reading data, prefer safari_read_page or safari_snapshot. For interactions, prefer safari_click/fill with refs.

Part of the Safari server.

safari_evaluate can trigger actions in Safari, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

SECURE SAFARI →

Free to start. No card required.

AI agents invoke safari_evaluate to trigger processes or run actions in Safari. 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.

safari_evaluate can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer 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.

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

See the full Safari policy for all 91 tools.

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

ENFORCE ON MY SAFARI →

View all 91 tools →

These attack patterns abuse exactly the kind of access safari_evaluate 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 safari_evaluate only ever does what you allow.

SECURE SAFARI →

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

What does the safari_evaluate tool do? +

Execute JavaScript in the current page. Automatically falls back to AppleScript when CSP blocks execution (e.g. Google Search Console, LinkedIn). For reading data, prefer safari_read_page or safari_snapshot. For interactions, prefer safari_click/fill with refs.. It is categorised as a Execute tool in the Safari MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on safari_evaluate? +

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

What risk level is safari_evaluate? +

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

Can I rate-limit safari_evaluate? +

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

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

safari_evaluate is provided by the Safari MCP server (safari-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Safari tool call.

Deterministic rules across all 91 Safari tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

// GET IN TOUCH

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

Message sent.

We'll get back to you soon.