AI agents call estimate_cost 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.
Despite the empty description, 'estimate_cost' most likely retrieves or computes cost information without modifying state. The context (Loreto MCP, a skill marketplace) suggests this queries pricing data. No evidence of write, execute, destructive, or financial operations (no actual payment processing). However, the empty description reduces confidence. Classified as Read with low confidence pending clarification.
From the tool's definition Tool name 'estimate_cost' suggests querying or calculating a cost prediction. Description is empty, limiting direct evidence.
Documented attack patterns abuse exactly the kind of access estimate_cost 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 estimate_cost:
{
"version": "1",
"default": "deny",
"tools": {
"estimate_cost": {}
}
}estimate_cost is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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estimate_cost. 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 estimate_cost: 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.
estimate_cost 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 estimate_cost 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 estimate_cost. 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.
estimate_cost 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.