Medium Risk

save_results_for_mirror

Save proctor exam results for an unofficial mirror. Pass the \

How to control save_results_for_mirror ↓

What save_results_for_mirror does on Playwright Stealth

AI agents use save_results_for_mirror to create or update resources in Playwright Stealth — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Playwright Stealth environment.

Medium Risk

Why save_results_for_mirror needs a policy

The tool creates or modifies exam result data for an unofficial mirror. This is a Write operation (reversible data modification) rather than Read (no query-only access), Execute (no code execution), or Destructive (results can be updated/corrected).

From the tool's definition Tool name includes 'save_results' and description states 'Save proctor exam results for an unofficial mirror' — indicates modification/creation of exam result records.

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

How to control save_results_for_mirror

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

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

save_results_for_mirror stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Playwright Stealth — 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.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about save_results_for_mirror

What does the save_results_for_mirror tool do? +

Save proctor exam results for an unofficial mirror. Pass the \. It is categorised as a Write tool in the Playwright Stealth MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on save_results_for_mirror? +

Register the Playwright Stealth MCP server in PolicyLayer and add a rule for save_results_for_mirror: 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 Playwright Stealth. Nothing to install.

What risk level is save_results_for_mirror? +

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

Can I rate-limit save_results_for_mirror? +

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

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

save_results_for_mirror is provided by the Playwright Stealth MCP server (pulsemcp/mcp-servers). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Playwright Stealth tool call.

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

Free to start. No card required.

68 Playwright Stealth tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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