Select an option from a <select> dropdown element by value, label, or visible text. Use when the user wants to choose a dropdown option, select from a combobox, or pick from a list. Note: clicking an <option> in pilot_snapshot is auto-routed here. Parameters: - ref: The <select> element reference...
AI agents invoke pilot_select_option to trigger actions in Pilot. 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 triggers a browser interaction (selecting a dropdown option) in a persistent Chromium instance via Playwright. It executes an external browser action whose effects depend on which option is chosen — which could trigger form submissions, page navigation, or other downstream actions. This goes beyond a simple read or write, as it drives real browser behavior with context-dependent side effects.
From the tool's definition Select an option from a <select> dropdown element by value, label, or visible text... browser automation... Playwright
Documented attack patterns abuse exactly the kind of access pilot_select_option gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Pilot, and nothing reaches the server without passing your rules. This is the rule we recommend for pilot_select_option:
{
"version": "1",
"default": "deny",
"tools": {
"pilot_select_option": {
"limits": [
{
"counter": "pilot_select_option_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}pilot_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.
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Select an option from a <select> dropdown element by value, label, or visible text. Use when the user wants to choose a dropdown option, select from a combobox, or pick from a list. Note: clicking an <option> in pilot_snapshot is auto-routed here. Parameters: - ref: The <select> element reference from snapshot (e.g.,. It is categorised as a Execute tool in the Pilot MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pilot MCP server in PolicyLayer and add a rule for pilot_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 Pilot. Nothing to install.
pilot_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 pilot_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 pilot_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.
pilot_select_option is provided by the Pilot MCP server (tacosyhorchata/pilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 61 Pilot tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
61 Pilot tools catalogued and risk-classified — across an index of 42,500+ MCP servers.