AI agents call list_skills to retrieve information from Loreto without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
List operations typically query and return data without side effects. The empty description reduces confidence slightly, but the name strongly suggests a read-only enumeration of skills, consistent with similar tools on the platform (e.g., marketplace_library, marketplace_my_listings). No evidence of destructive, write, execute, or financial operations.
From the tool's definition Tool name 'list_skills' indicates a retrieval operation. The server context describes a skill generation and marketplace platform, and 'list_skills' logically retrieves or enumerates existing skills without modification.
Documented attack patterns abuse exactly the kind of access list_skills gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Loreto, and nothing reaches the server without passing your rules. This is the rule we recommend for list_skills:
{
"version": "1",
"default": "deny",
"tools": {
"list_skills": {}
}
}list_skills is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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list_skills. It is categorised as a Read tool in the Loreto MCP Server, which means it retrieves data without modifying state.
Register the Loreto MCP server in PolicyLayer and add a rule for list_skills: 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 Loreto. Nothing to install.
list_skills 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_skills 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_skills. 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_skills is provided by the Loreto MCP server (kopias/loreto-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Loreto, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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13 Loreto tools catalogued and risk-classified — across an index of 43,000+ MCP servers.