Low Risk

get_cost_estimation

Get cost estimation for the range. Args: user_id: Optional user ID (admin only) Returns: Cost estimation based on resource usage

How to control get_cost_estimation ↓

AI agents call get_cost_estimation to retrieve information from Ludus FastMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool retrieves cost data and returns an estimation—a read-only operation with no side effects. Although it involves financial information, it does not move money, commit financial obligations, or perform any financial transaction. The 'admin only' access control on optional user_id further confirms it is an informational query.

From the tool's definition Tool name 'get_cost_estimation' and description 'Get cost estimation for the range' indicate a retrieval operation. The function returns 'Cost estimation based on resource usage' with no indication of modifying, deleting, executing code, or transferring funds.

Risk signalsAdmin/system-level operation

Documented attack patterns abuse exactly the kind of access get_cost_estimation gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Ludus FastMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_cost_estimation:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_cost_estimation": {}
  }
}

get_cost_estimation is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Ludus FastMCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the get_cost_estimation tool do? +

Get cost estimation for the range. Args: user_id: Optional user ID (admin only) Returns: Cost estimation based on resource usage. It is categorised as a Read tool in the Ludus FastMCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_cost_estimation? +

Register the Ludus Fast MCP server in PolicyLayer and add a rule for get_cost_estimation: 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 Ludus FastMCP. Nothing to install.

What risk level is get_cost_estimation? +

get_cost_estimation is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_cost_estimation? +

Yes. Add a rate_limit block to the get_cost_estimation 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.

How do I block get_cost_estimation completely? +

Set action: deny in the PolicyLayer policy for get_cost_estimation. 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.

What MCP server provides get_cost_estimation? +

get_cost_estimation is provided by the Ludus Fast MCP server (tjnull/ludus-fastmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Ludus FastMCP tool call.

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201 Ludus FastMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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