AI agents invoke pine_check 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.
Compiling Pine Script is not a pure read operation; it triggers an external process (the TradingView compiler) via CDP. While it doesn't directly run the script on live charts, compilation is an Execute-category action with moderate blast radius — misuse could introduce malicious Pine Script or cause unexpected TradingView state changes.
From the tool's definition 'Compile Pine Script via TradingView' — compiling code triggers execution of an external operation (compilation pipeline) within the TradingView environment via Chrome DevTools Protocol
Documented attack patterns abuse exactly the kind of access pine_check 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 pine_check:
{
"version": "1",
"default": "deny",
"tools": {
"pine_check": {
"limits": [
{
"counter": "pine_check_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} pine_check 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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Compile Pine Script via TradingView\. 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.
Register the TradingView MCP Bridge MCP server in PolicyLayer and add a rule for pine_check: 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.
pine_check 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 pine_check 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 pine_check. 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.
pine_check 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.
Deterministic rules across all 78 TradingView MCP Bridge tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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78 TradingView MCP Bridge tools catalogued and risk-classified — across an index of 42,500+ MCP servers.