Medium Risk

tab_close

Close the current chart tab

How to control tab_close ↓

AI agents use tab_close to create or update resources in TradingView MCP Bridge — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TradingView MCP Bridge environment.

Medium Risk

An AI agent can call tab_close faster than any human can review — one bad instruction and it creates or modifies resources in TradingView MCP Bridge by the hundred, each call as confident as the last.

Documented attack patterns abuse exactly the kind of access tab_close 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 tab_close:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "tab_close": {
      "limits": [
        {
          "counter": "tab_close_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

tab_close stays usable, but capped — an agent stuck in a loop can't make hundreds of changes 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.
LIMIT THIS TOOL →

Free to start. No card required.

Go deeper

What does the tab_close tool do? +

Close the current chart tab. It is categorised as a Write tool in the TradingView MCP Bridge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on tab_close? +

Register the TradingView MCP Bridge MCP server in PolicyLayer and add a rule for tab_close: 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 tab_close? +

tab_close is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit tab_close? +

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

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

tab_close 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.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.