Low Risk

get_recovery_recommendation

Get recovery recommendations for failed deployments. Args: user_id: Optional user ID (admin only) Returns: Recovery recommendations based on failure analysis

How to control get_recovery_recommendation ↓

AI agents call get_recovery_recommendation 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 queries diagnostic information about failed deployments to provide recommendations. It has no side effects—it does not execute recovery actions, modify deployment state, delete resources, or trigger external operations. The optional user_id parameter is for access control only.

From the tool's definition Tool name is 'get_recovery_recommendation' and description states it returns 'Recovery recommendations based on failure analysis' with no modification, deletion, or execution of operations. The verb 'get' and return-only behavior indicate data retrieval.

Risk signalsAdmin/system-level operation

Documented attack patterns abuse exactly the kind of access get_recovery_recommendation 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_recovery_recommendation:

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

get_recovery_recommendation 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_recovery_recommendation tool do? +

Get recovery recommendations for failed deployments. Args: user_id: Optional user ID (admin only) Returns: Recovery recommendations based on failure analysis. 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_recovery_recommendation? +

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

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

Can I rate-limit get_recovery_recommendation? +

Yes. Add a rate_limit block to the get_recovery_recommendation 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_recovery_recommendation completely? +

Set action: deny in the PolicyLayer policy for get_recovery_recommendation. 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_recovery_recommendation? +

get_recovery_recommendation 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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