cc_explore · Ttt MCP: Risk & Policy

WHAT IT DOES

What cc_explore does on Ttt

AI agents invoke cc_explore to trigger actions in Ttt. 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 cc_explore needs a policy

Despite the server description claiming to expose tic-tac-toe tools, cc_explore appears to be part of a different game system (suggested by the 'cc_' prefix and creature/encounter mechanics). The tool executes an action that triggers game state changes and encounters whose exact results depend on the execution, not just retrieval.

From the tool's definition The tool description states it will "Search the current area for wild creatures" and "May trigger an encounter or a near-miss." This describes triggering external game logic with non-deterministic outcomes dependent on the search action.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

cc_explore Rate-limited

cc_explore 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": {
    "cc_explore": {
      "limits": [
        {
          "counter": "cc_explore_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 Ttt, so you can run agents against it safely.

FAQ

Questions about cc_explore

What does the cc_explore tool do? +

Search the current area for wild creatures. May trigger an encounter or a near-miss. It is categorised as a Execute tool in the Ttt MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on cc_explore? +

Register the Ttt MCP server in PolicyLayer and add a rule for cc_explore: 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 Ttt. Nothing to install.

What risk level is cc_explore? +

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

Can I rate-limit cc_explore? +

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

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

cc_explore is provided by the Ttt MCP server (srmtech-git/mcparcade). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.