prove_goal · Pyke MCP Server MCP: Risk & Policy

WHAT IT DOES

What prove_goal does on Pyke MCP Server

AI agents invoke prove_goal to trigger actions in Pyke MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why prove_goal needs a policy

Based on the tool name and the server context (a logic programming engine supporting forward chaining inference and queries), 'prove_goal' likely executes a logical proof/inference query against a knowledge base. This is analogous to running a query/execution operation rather than a simple read, as it triggers inference computations. However, the empty description lowers confidence significantly.

From the tool's definition Tool name is 'prove_goal'; description is empty or uninformative.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

prove_goal Rate-limited

prove_goal stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "prove_goal": {
      "limits": [
        {
          "counter": "prove_goal_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about prove_goal

What does the prove_goal tool do? +

prove_goal. It is categorised as a Execute tool in the Pyke MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on prove_goal? +

Register the Pyke MCP Server MCP server in PolicyLayer and add a rule for prove_goal: 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 Pyke MCP Server. Nothing to install.

What risk level is prove_goal? +

prove_goal is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit prove_goal? +

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

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

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