session_save

Save today

Server TradingView MCP ulianbass/tradingview-mcp
Category Write
Risk class Medium
Parameters 00 required

What session_save does on TradingView MCP

AI agents use session_save to create or update resources in TradingView MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TradingView MCP environment.

Why session_save needs a policy

This tool creates or modifies persisted data (a saved session/state) but does not irreversibly delete data, execute arbitrary code, or move money. It is reversible—sessions can be overwritten or deleted. The Write category is appropriate for state persistence operations in charting/analysis tools.

From the tool's definition Tool name 'session_save' and description 'Save today' indicate persistence of current state/session data. The context of TradingView chart manipulation and the sibling tools (chart_manage_indicator, chart_get_state, etc.) confirm this writes/stores…

Questions about session_save

What does the session_save tool do? +

Save today. It is categorised as a Write tool in the TradingView MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on session_save? +

Register the TradingView MCP server in PolicyLayer and add a rule for session_save: 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.

What risk level is session_save? +

session_save is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit session_save? +

Yes. Add a rate_limit block to the session_save 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.

How do I block session_save completely? +

Set action: deny in the PolicyLayer policy for session_save. 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.

What MCP server provides session_save? +

session_save 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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