AI agents call explain_pine_error to retrieve information from TradingView MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and explains error information from Pine Script code analysis. It has no side effects—it does not execute code, modify data, access live trading systems, or trigger market operations. Despite the empty description lowering confidence slightly, the name and functional context clearly position it as a read-only diagnostic aid for developers working with Pine Script v6.
From the tool's definition Tool name 'explain_pine_error' and context of Pine Script v6 development tools (syntax validation, autocomplete, version conversion) indicate a diagnostic/educational function that parses error messages and returns explanations without modifying code, data,…
Documented attack patterns abuse exactly the kind of access explain_pine_error gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and TradingView MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for explain_pine_error:
{
"version": "1",
"default": "deny",
"tools": {
"explain_pine_error": {}
}
}explain_pine_error is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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explain_pine_error. It is categorised as a Read tool in the TradingView MCP Server MCP Server, which means it retrieves data without modifying state.
Register the TradingView MCP Server MCP server in PolicyLayer and add a rule for explain_pine_error: 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 Server. Nothing to install.
explain_pine_error is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the explain_pine_error 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 explain_pine_error. 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.
explain_pine_error is provided by the TradingView MCP Server MCP server (lev-corrupted/tradingviewmcpserver). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from TradingView MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
33 TradingView MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.