Low Risk

get_deployment_metrics

Get metrics for a specific deployment. Args: deployment_id: Optional deployment ID (defaults to current) user_id: Optional user ID (admin only) Returns: Deployment metrics

How to control get_deployment_metrics ↓

AI agents call get_deployment_metrics 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 and returns metrics about an existing deployment without creating, modifying, deleting, executing code, or committing financial actions. It is a pure read operation with query parameters. The admin-only user_id check is an access control mechanism, not indicative of a higher-risk category. No side effects or state changes occur.

From the tool's definition Tool name 'get_deployment_metrics' and description 'Get metrics for a specific deployment' with 'Returns: Deployment metrics' indicates data retrieval only.

Risk signalsAdmin/system-level operation

Documented attack patterns abuse exactly the kind of access get_deployment_metrics 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_deployment_metrics:

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

get_deployment_metrics 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_deployment_metrics tool do? +

Get metrics for a specific deployment. Args: deployment_id: Optional deployment ID (defaults to current) user_id: Optional user ID (admin only) Returns: Deployment metrics. 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_deployment_metrics? +

Register the Ludus Fast MCP server in PolicyLayer and add a rule for get_deployment_metrics: 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_deployment_metrics? +

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

Can I rate-limit get_deployment_metrics? +

Yes. Add a rate_limit block to the get_deployment_metrics 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_deployment_metrics completely? +

Set action: deny in the PolicyLayer policy for get_deployment_metrics. 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_deployment_metrics? +

get_deployment_metrics 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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