post_gym_macro_mode · Mcp Otle MCP: Risk & Policy

WHAT IT DOES

What post_gym_macro_mode does on Mcp Otle

AI agents use post_gym_macro_mode to create or update resources in Mcp Otle — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Otle environment.

WHY IT NEEDS A POLICY

Why post_gym_macro_mode needs a policy

This tool creates or modifies an order configuration (a burrito) based on workout input, which is a reversible Write operation. There are no side effects beyond order simulation/suggestion, no financial transactions, no destructive operations, and no code execution. The humorous 'Gains-as-a-Service' framing and the fact this is part of a Chipotle ordering simulator (not a real system) further indicate low severity.

From the tool's definition The tool 'automatically configures' a burrito order, which is a create/modify operation similar to other build/customize operations on this server (build_entree, customize_order).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

post_gym_macro_mode Rate-limited

post_gym_macro_mode 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": {
    "post_gym_macro_mode": {
      "limits": [
        {
          "counter": "post_gym_macro_mode_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 Mcp Otle, so you can run agents against it safely.

FAQ

Questions about post_gym_macro_mode

What does the post_gym_macro_mode tool do? +

Automatically configures a nutritionally optimized burrito based on your workout. Gains-as-a-Service. It is categorised as a Write tool in the Mcp Otle MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on post_gym_macro_mode? +

Register the Mcp Otle MCP server in PolicyLayer and add a rule for post_gym_macro_mode: 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 Mcp Otle. Nothing to install.

What risk level is post_gym_macro_mode? +

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

Can I rate-limit post_gym_macro_mode? +

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

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

post_gym_macro_mode is provided by the Mcp Otle MCP server (yoshisaurus/mcp-otle). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.