select_option
A execute tool on the Playwright MCP server.
This record as markdown: /tools/alexrwilliam-playwright-mcp-server/select-option.md
What select_option does on Playwright MCP Server
AI agents invoke select_option to trigger actions in Playwright MCP Server. 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.
Why select_option is rated High
Based on the server context (Playwright browser automation) and sibling tools like 'click', 'check_checkbox', 'clear_text', 'evaluate', this tool almost certainly selects an option in a dropdown/select element — a browser interaction action. Empty description lowers confidence, but the pattern is consistent with Execute-class browser automation. Misuse could trigger unintended form submissions or UI state changes.
From the tool's definition Tool name 'select_option' on a Playwright browser automation server that enables 'webpage interaction, DOM manipulation'
Attacks that exploit this kind of access
The rule that runs select_option safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Playwright MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For select_option, this is the rule to start with:
select_option 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Playwright MCP Server, apply this rule, and every select_option call is checked against it from then on.
Questions about select_option
select_option is a execute tool on the Playwright MCP Server MCP server. It is categorised as a Execute tool in the Playwright MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Playwright MCP Server MCP server in PolicyLayer and add a rule for select_option: 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 MCP Server. Nothing to install.
select_option 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 select_option 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 select_option. 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.
select_option is provided by the Playwright MCP Server MCP server (alexrwilliam/playwright-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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