set_conclusion · FOL Prover MCP Server MCP: Risk & Policy

WHAT IT DOES

What set_conclusion does on FOL Prover MCP Server

AI agents use set_conclusion to create or update resources in FOL Prover MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FOL Prover MCP Server environment.

WHY IT NEEDS A POLICY

Why set_conclusion needs a policy

The tool creates or modifies data within a theorem-proving session without triggering irreversible deletion, external code execution, or financial transactions. Setting a logical goal is a write operation on the session's internal state.

From the tool's definition Tool description states 'Set the conclusion (goal) to prove in the current session' — this modifies session state by writing/updating the goal parameter, which is reversible (can be changed again or cleared).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

set_conclusion Rate-limited

set_conclusion stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "set_conclusion": {
      "limits": [
        {
          "counter": "set_conclusion_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches FOL Prover MCP Server, so you can run agents against it safely.

FAQ

Questions about set_conclusion

What does the set_conclusion tool do? +

Set the conclusion (goal) to prove in the current session. It is categorised as a Write tool in the FOL Prover MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on set_conclusion? +

Register the FOL Prover MCP Server MCP server in PolicyLayer and add a rule for set_conclusion: 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 FOL Prover MCP Server. Nothing to install.

What risk level is set_conclusion? +

set_conclusion is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit set_conclusion? +

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

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

set_conclusion is provided by the FOL Prover MCP Server MCP server (newjerseystyle/folprover-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.