Provide a comprehensive trade recommendation based on multiple indicators
AI agents call trade_recommendation to retrieve information from Stock Analysis MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and aggregates data from multiple technical indicators (moving averages, RSI, etc.) to produce a trade recommendation. It does not itself execute trades, move money, or modify any data — it is purely advisory/analytical output. However, severity is medium because an AI agent could misuse trading signals to drive Financial decisions, even though the tool itself does not transact.
From the tool's definition "Provide a comprehensive trade recommendation based on multiple indicators" — the tool generates analytical output (recommendations/signals) based on existing indicator data
Attacks that exploit this kind of access
Provide a comprehensive trade recommendation based on multiple indicators. It is categorised as a Read tool in the Stock Analysis MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Stock Analysis MCP Server MCP server in PolicyLayer and add a rule for trade_recommendation: 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 Stock Analysis MCP Server. Nothing to install.
trade_recommendation 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 trade_recommendation 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 trade_recommendation. 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.
trade_recommendation is provided by the Stock Analysis MCP Server MCP server (tanayphatak/mcp_finance). 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.
Teams ship this data inside their own products. See what a licence covers →