ot_hunt · Ttt MCP: Risk & Policy

WHAT IT DOES

What ot_hunt does on Ttt

AI agents invoke ot_hunt 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 ot_hunt needs a policy

This tool executes a game action with resource consumption (ammo) and time cost, and produces non-deterministic results. While not destructive (the effects are reversible within game state), it is an Execute category because it triggers an operation whose outcomes depend on the tool's internal logic rather than simple data retrieval or modification.

From the tool's definition Tool performs an action ('hunt for food') with unpredictable external side effects (uses ammo, takes time, produces variable outcomes). The instruction to 'narrate the hunt' indicates it triggers a game simulation/operation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ot_hunt Rate-limited

ot_hunt 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": {
    "ot_hunt": {
      "limits": [
        {
          "counter": "ot_hunt_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 ot_hunt

What does the ot_hunt tool do? +

Stop to hunt for food. Takes half a day, uses ammo, and the results are unpredictable. Narrate the hunt to the human. 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 ot_hunt? +

Register the Ttt MCP server in PolicyLayer and add a rule for ot_hunt: 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 ot_hunt? +

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

Can I rate-limit ot_hunt? +

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

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

ot_hunt 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.