Start bar replay mode, optionally at a specific date
AI agents invoke replay_start to trigger actions in TradingView MCP Jackson. 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 is an Execute category tool because it triggers an operation (bar replay) in an external system (TradingView) via Chrome DevTools Protocol. The severity is high because uncontrolled replay at arbitrary dates in a trading context could mislead analysis, trigger automated workflows, or cause an AI agent to misinterpret market conditions.
From the tool's definition The tool "Start bar replay mode" performs an action that triggers external operations—initiating replay functionality in TradingView's charting system.
Attacks that exploit this kind of access
Start bar replay mode, optionally at a specific date. It is categorised as a Execute tool in the TradingView MCP Jackson MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the TradingView MCP Jackson MCP server in PolicyLayer and add a rule for replay_start: 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 Jackson. Nothing to install.
replay_start 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 replay_start 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 replay_start. 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.
replay_start is provided by the TradingView MCP Jackson MCP server (nimit791/tradingview-mcp-jackson). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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