Low Risk

lean_multi_attempt

lean_multi_attempt

How to control lean_multi_attempt ↓

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

Low Risk

Even though lean_multi_attempt only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

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

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

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

lean_multi_attempt 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 Lean LSP MCP — 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 lean_multi_attempt tool do? +

lean_multi_attempt. It is categorised as a Read tool in the Lean LSP MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on lean_multi_attempt? +

Register the Lean LSP MCP server in PolicyLayer and add a rule for lean_multi_attempt: 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 Lean LSP MCP. Nothing to install.

What risk level is lean_multi_attempt? +

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

Can I rate-limit lean_multi_attempt? +

Yes. Add a rate_limit block to the lean_multi_attempt 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 lean_multi_attempt completely? +

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

lean_multi_attempt is provided by the Lean LSP MCP server (ooo0ooo/lean-lsp-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Lean LSP MCP tool call.

Deterministic rules across all 23 Lean LSP MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

23 Lean LSP MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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