AI agents call list_scouts to retrieve information from Yutori MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and lists existing scout configurations for the authenticated user. It performs a read-only operation that queries data without creating, modifying, deleting, executing, or committing financial actions. The action is non-destructive and informational in nature.
From the tool's definition Tool name 'list_scouts' and description 'List all scouts for the authenticated user' indicate a query/retrieval operation with no modifications or side effects.
Documented attack patterns abuse exactly the kind of access list_scouts gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Yutori MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for list_scouts:
{
"version": "1",
"default": "deny",
"tools": {
"list_scouts": {}
}
} list_scouts is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all scouts for the authenticated user. It is categorised as a Read tool in the Yutori MCP MCP Server, which means it retrieves data without modifying state.
Register the Yutori MCP server in PolicyLayer and add a rule for list_scouts: 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 Yutori MCP. Nothing to install.
list_scouts 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 list_scouts 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 list_scouts. 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.
list_scouts is provided by the Yutori MCP server (yutori-ai/yutori-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Yutori MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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11 Yutori MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.