trade_recommendation

Provide a comprehensive trade recommendation based on multiple indicators

Server GitHub and AlphaVantage MCP Server uditdev21/mcp-server
Category Read
Risk class Low
Parameters 00 required

What trade_recommendation does on GitHub and AlphaVantage MCP Server

AI agents call trade_recommendation to retrieve information from GitHub and AlphaVantage MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why trade_recommendation needs a policy

Even though trade_recommendation only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about trade_recommendation

What does the trade_recommendation tool do? +

Provide a comprehensive trade recommendation based on multiple indicators. It is categorised as a Read tool in the GitHub and AlphaVantage MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on trade_recommendation? +

Register the GitHub and AlphaVantage 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 GitHub and AlphaVantage MCP Server. Nothing to install.

What risk level is trade_recommendation? +

trade_recommendation is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit trade_recommendation? +

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.

How do I block trade_recommendation completely? +

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.

What MCP server provides trade_recommendation? +

trade_recommendation is provided by the GitHub and AlphaVantage MCP Server MCP server (uditdev21/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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