AI agents call get_team to retrieve information from eToro 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 team information from the eToro API without modifying data, executing commands, or causing irreversible changes. It is a straightforward read operation with minimal blast radius if misused—an agent could retrieve information about teams it should not access, but this is an access control issue rather than a destructive or financial risk.
From the tool's definition Tool name 'get_team' and description 'Get information for a specific team' indicate a retrieval operation with no modification or execution of external systems.
Documented attack patterns abuse exactly the kind of access get_team gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and eToro MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_team:
{
"version": "1",
"default": "deny",
"tools": {
"get_team": {}
}
}get_team is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get information for a specific team. It is categorised as a Read tool in the eToro MCP Server MCP Server, which means it retrieves data without modifying state.
Register the eToro MCP Server MCP server in PolicyLayer and add a rule for get_team: 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 eToro MCP Server. Nothing to install.
get_team 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 get_team 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 get_team. 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.
get_team is provided by the eToro MCP Server MCP server (shlomico-tr/etoroportfoliomcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from eToro MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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154 eToro MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.