Toggle autoplay in replay mode, optionally set speed. WARNING: speed must be one of 100, 143, 200, 300, 1000, 2000, 3000, 5000, 10000 ms. Invalid values permanently corrupt your TradingView cloud account autoplay state.
AI agents invoke replay_autoplay to trigger actions in TradingView MCP. 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 tool executes a UI action (toggling autoplay and setting speed) in TradingView via CDP. While primarily an Execute-class action, the warning about permanently corrupting cloud account state elevates severity. However, it doesn't irreversibly delete data in the traditional sense — it corrupts configuration state.
From the tool's definition 'Toggle autoplay in replay mode' and WARNING: 'Invalid values permanently corrupt your TradingView cloud account autoplay state'
Attacks that exploit this kind of access
Toggle autoplay in replay mode, optionally set speed. WARNING: speed must be one of 100, 143, 200, 300, 1000, 2000, 3000, 5000, 10000 ms. Invalid values permanently corrupt your TradingView cloud account autoplay state. It is categorised as a Execute tool in the TradingView MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the TradingView MCP server in PolicyLayer and add a rule for replay_autoplay: 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. Nothing to install.
replay_autoplay 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_autoplay 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_autoplay. 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_autoplay is provided by the TradingView MCP server (ulianbass/tradingview-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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