Select an option from a select element
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.
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:
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:
{
"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.
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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.
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.
puppeteer_select is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
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.
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.
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.
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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84 Claude TypeScript MCP Servers tools catalogued and risk-classified — across an index of 43,000+ MCP servers.