Low Risk

draw_cards

Draw multiple random tarot cards. Count must be between 1 and 78.

Part of the Tarot server.

draw_cards is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

SECURE TAROT →

Free to start. No card required.

AI agents call draw_cards to retrieve information from Tarot without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though draw_cards only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "draw_cards": {}
  }
}

See the full Tarot policy for all 24 tools.

Get this rule live on your own Tarot server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY TAROT →

View all 24 tools →

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

Browse the full MCP Attack Database →

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

SECURE TAROT →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the draw_cards tool do? +

Draw multiple random tarot cards. Count must be between 1 and 78.. It is categorised as a Read tool in the Tarot MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on draw_cards? +

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

What risk level is draw_cards? +

draw_cards is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit draw_cards? +

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

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

draw_cards is provided by the Tarot MCP server (https://gateway.pipeworx.io/tarot/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Tarot tool call.

Deterministic rules across all 24 Tarot tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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