High Risk →

puppeteer_select

Select an option from a select element

How to control puppeteer_select ↓

What puppeteer_select does on Claude TypeScript MCP Servers

AI agents invoke puppeteer_select to trigger actions in Claude TypeScript MCP Servers. 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 puppeteer_select needs a policy

This tool performs a browser action (interacting with a select element in a browser via Puppeteer), which constitutes an Execute-category operation. It triggers external browser operations whose effects depend on arguments — selecting an option could trigger form submissions, page navigations, or other side effects depending on the context.

From the tool's definition Select an option from a select element

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

How to control puppeteer_select

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_select:

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

puppeteer_select 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 Claude TypeScript MCP Servers — 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.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about puppeteer_select

What does the puppeteer_select tool do? +

Select an option from a select element. 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_select? +

Register the Claude TypeScript MCP Servers MCP server in PolicyLayer and add a rule for puppeteer_select: 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_select? +

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

Can I rate-limit puppeteer_select? +

Yes. Add a rate_limit block to the puppeteer_select 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_select completely? +

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

puppeteer_select 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.

Free to start. No card required.

84 Claude TypeScript MCP Servers tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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