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run_exam_for_mirror

Run proctor exams against unofficial mirrors to test their MCP server configurations. Proctor spins up Docker containers on Fly Machines and runs standardized exams to verify mirrors work correctly. Available exam types: - auth-check: Verifies the authentication type and whether the mirror respon...

How to control run_exam_for_mirror ↓

What run_exam_for_mirror does on Playwright Stealth

AI agents invoke run_exam_for_mirror to trigger actions in Playwright Stealth. 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 run_exam_for_mirror needs a policy

This is clearly Execute rather than Read, despite ostensibly being a testing/verification tool. The key indicator is that it 'spins up Docker containers on Fly Machines and runs standardized exams'—this actively launches and runs external operations whose side effects depend on the provided arguments (which exam type, which mirror).

From the tool's definition The tool 'run_exam_for_mirror' performs actions that trigger external operations: 'Proctor spins up Docker containers on Fly Machines and runs standardized exams.' This involves executing code and operations whose effects depend on arguments (exam type…

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

How to control run_exam_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 run_exam_for_mirror:

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

run_exam_for_mirror 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 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.
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Related tools and policies

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Questions about run_exam_for_mirror

What does the run_exam_for_mirror tool do? +

Run proctor exams against unofficial mirrors to test their MCP server configurations. Proctor spins up Docker containers on Fly Machines and runs standardized exams to verify mirrors work correctly. Available exam types: - auth-check: Verifies the authentication type and whether the mirror responds correctly to auth flows (e.g., OAuth2) - init-tools-list: Connects to the mirror and retrieves its list of MCP tools, verifying the server initializes properly - both: Runs both exams sequentially Mirrors without saved mcp_json configurations are automatically skipped. Results are stored server-side in a local file and a \. It is categorised as a Execute tool in the Playwright Stealth MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_exam_for_mirror? +

Register the Playwright Stealth MCP server in PolicyLayer and add a rule for run_exam_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 run_exam_for_mirror? +

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

Can I rate-limit run_exam_for_mirror? +

Yes. Add a rate_limit block to the run_exam_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 run_exam_for_mirror completely? +

Set action: deny in the PolicyLayer policy for run_exam_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 run_exam_for_mirror? +

run_exam_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.

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