multi_timeframe_analysis
AI agents call multi_timeframe_analysis to retrieve information from Tradingview without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on the naming pattern and server context of a trading analysis toolkit, this tool most likely retrieves or queries trading data and performs technical analysis without modifying anything. The '_analysis' suffix and placement among other read-only analytical tools suggests data retrieval rather than execution, write, or destructive operations. However, confidence is reduced due to missing description.
From the tool's definition Tool name 'multi_timeframe_analysis' suggests analyzing trading data across different time periods. The server context shows sibling tools like 'coin_analysis', 'combined_analysis', and 'bollinger_scan' which are analytical/data-retrieval functions.
Attacks that exploit this kind of access
multi_timeframe_analysis. It is categorised as a Read tool in the Tradingview MCP Server, which means it retrieves data without modifying state.
Register the Tradingview MCP server in PolicyLayer and add a rule for multi_timeframe_analysis: 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. Nothing to install.
multi_timeframe_analysis 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 multi_timeframe_analysis 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 multi_timeframe_analysis. 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.
multi_timeframe_analysis is provided by the Tradingview MCP server (mrxjeus-cpu/trading-mcp-bot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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