This API endpoint returns the average of all analyst recommendations and classifies them as Strong Buy, Buy, Hold, or Sell. Also, it returns a recommendation score.
AI agents call GetRecommendations to retrieve information from Twelve Data MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries analyst recommendation aggregates and metadata. It has no side effects, does not create, modify, delete, or execute anything, and does not move money. It is purely informational data access, fitting the Read category. Severity is low because misuse would only expose financial analysis data without direct harm.
From the tool's definition GetRecommendations returns analyst recommendation data and scores with no modification capability—'returns the average of all analyst recommendations' and 'returns a recommendation score.' The verb 'returns' indicates data retrieval only.
Documented attack patterns abuse exactly the kind of access GetRecommendations gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Twelve Data MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for GetRecommendations:
{
"version": "1",
"default": "deny",
"tools": {
"GetRecommendations": {}
}
}GetRecommendations is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
This API endpoint returns the average of all analyst recommendations and classifies them as Strong Buy, Buy, Hold, or Sell. Also, it returns a recommendation score. It is categorised as a Read tool in the Twelve Data MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Twelve Data MCP Server MCP server in PolicyLayer and add a rule for GetRecommendations: 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 Twelve Data MCP Server. Nothing to install.
GetRecommendations 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 GetRecommendations 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 GetRecommendations. 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.
GetRecommendations is provided by the Twelve Data MCP Server MCP server (twelvedata/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 186 Twelve Data MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
186 Twelve Data MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.