puppeteer_wait_for_timeout

THE RISK

High Risk

Why puppeteer_wait_for_timeout needs a policy

This tool executes a browser control command (timeout/wait) whose effect depends on the argument (duration specified). While relatively benign in isolation, it falls under Execute rather than Write/Read because it triggers a browser automation action. The severity is low because a timeout delay alone causes minimal direct harm, though it could be chained with other browser operations for malicious purposes.

From the tool's definition Tool name 'puppeteer_wait_for_timeout' and description 'Wait for a specified amount of time' indicate execution of a timing/delay operation within a Puppeteer-controlled browser context.

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

POLICY

How to control puppeteer_wait_for_timeout

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "puppeteer_wait_for_timeout": {
      "limits": [
        {
          "counter": "puppeteer_wait_for_timeout_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

puppeteer_wait_for_timeout 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.

Create a free account and register Claude TypeScript MCP Servers — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

Related tools and policies

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All 84 Claude TypeScript MCP Servers tools →

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Go deeper

High-risk tools in Claude TypeScript MCP Servers → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about puppeteer_wait_for_timeout

What does the puppeteer_wait_for_timeout tool do? +

Wait for a specified amount of time. It is categorised as a Execute tool in the Claude TypeScript MCP Servers MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on puppeteer_wait_for_timeout? +

Register the Claude TypeScript MCP Servers MCP server in PolicyLayer and add a rule for puppeteer_wait_for_timeout: 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 Claude TypeScript MCP Servers. Nothing to install.

What risk level is puppeteer_wait_for_timeout? +

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

Can I rate-limit puppeteer_wait_for_timeout? +

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

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

puppeteer_wait_for_timeout is provided by the Claude TypeScript MCP Servers MCP server (ukkz/claude-ts-mcps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Claude TypeScript MCP Servers tool call.

Start from Claude TypeScript MCP Servers, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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