Medium Risk

draft_card_ratings

Get win rate and draft performance data for cards in a set. Key metrics: GIH WR (ever_drawn_win_rate), ALSA (avg_seen), OH WR (opening_hand_win_rate), IWD (drawn_improvement_win_rate). Note: 17Lands data skews toward above-average players (~56% baseline WR). Cards with <500 games may not have rel...

Part of the MTG MCP Server server.

draft_card_ratings can modify MTG MCP Server data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use draft_card_ratings to create or modify resources in MTG MCP Server. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call draft_card_ratings repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach MTG MCP Server.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "draft_card_ratings": {
      "limits": [
        {
          "counter": "draft_card_ratings_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access draft_card_ratings gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so draft_card_ratings only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the draft_card_ratings tool do? +

Get win rate and draft performance data for cards in a set. Key metrics: GIH WR (ever_drawn_win_rate), ALSA (avg_seen), OH WR (opening_hand_win_rate), IWD (drawn_improvement_win_rate). Note: 17Lands data skews toward above-average players (~56% baseline WR). Cards with <500 games may not have reliable data.. It is categorised as a Write tool in the MTG MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on draft_card_ratings? +

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

What risk level is draft_card_ratings? +

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

Can I rate-limit draft_card_ratings? +

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

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

draft_card_ratings is provided by the MTG MCP Server MCP server (pypi:mtg-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MTG MCP Server tool call.

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