manage_hidden_bets · PropProfessor MCP: Risk & Policy

WHAT IT DOES

What manage_hidden_bets does on PropProfessor MCP

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

WHY IT NEEDS A POLICY

Why manage_hidden_bets needs a policy

This tool modifies the visibility/metadata of existing bets rather than creating new ones or deleting them, classifying it as Write. Severity is medium because misuse could mislead other users about bet visibility or expose/hide bets inappropriately, but it does not irreversibly destroy data (Destructive) or move money (Financial).

From the tool's definition Tool name 'manage_hidden_bets' and description 'Manage bet visibility' indicate modification of bet visibility state in a fantasy betting table. The incomplete description ('action=') suggests parameter-driven write operations to alter bet metadata.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

manage_hidden_bets Rate-limited

manage_hidden_bets 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": {
    "manage_hidden_bets": {
      "limits": [
        {
          "counter": "manage_hidden_bets_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 PropProfessor MCP, so you can run agents against it safely.

FAQ

Questions about manage_hidden_bets

What does the manage_hidden_bets tool do? +

Manage bet visibility for the /fantasy table. action=. It is categorised as a Write tool in the PropProfessor MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on manage_hidden_bets? +

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

What risk level is manage_hidden_bets? +

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

Can I rate-limit manage_hidden_bets? +

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

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

manage_hidden_bets is provided by the PropProfessor MCP server (j17drake/propprofessor-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.