High Risk →

ui_open_panel

Open, close, or toggle TradingView panels (pine-editor, strategy-tester, watchlist, alerts, trading)

How to control ui_open_panel ↓

AI agents invoke ui_open_panel to trigger actions in TradingView MCP Bridge. 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

This tool triggers UI interactions within a running TradingView Desktop application via Chrome DevTools Protocol. It doesn't just read data — it actively manipulates the application's UI state by opening/closing/toggling panels. This constitutes executing external operations whose effects depend on arguments (which panel to open/close/toggle).

From the tool's definition Open, close, or toggle TradingView panels (pine-editor, strategy-tester, watchlist, alerts, trading)

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

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

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

ui_open_panel 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 TradingView MCP Bridge — 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 →

Free to start. No card required.

Go deeper

What does the ui_open_panel tool do? +

Open, close, or toggle TradingView panels (pine-editor, strategy-tester, watchlist, alerts, trading). It is categorised as a Execute tool in the TradingView MCP Bridge MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ui_open_panel? +

Register the TradingView MCP Bridge MCP server in PolicyLayer and add a rule for ui_open_panel: 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 TradingView MCP Bridge. Nothing to install.

What risk level is ui_open_panel? +

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

Can I rate-limit ui_open_panel? +

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

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

ui_open_panel is provided by the TradingView MCP Bridge MCP server (tradesdontlie/tradingview-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every TradingView MCP Bridge tool call.

Deterministic rules across all 78 TradingView MCP Bridge tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

78 TradingView MCP Bridge tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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