Medium Risk

ra_add_card

Save a credit card for sending payments. This requires the user to interact with a browser — the AI agent should prompt the user to run ra add-card in their terminal. The user's card is saved securely via Stripe Checkout (Ra Pay never sees card data). After saving a card, the user can send paymen...

Part of the Ra Pay server.

ra_add_card can modify Ra Pay 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 ra_add_card to create or modify resources in Ra Pay. 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 ra_add_card 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 Ra Pay.

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

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

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These attack patterns abuse exactly the kind of access ra_add_card 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 ra_add_card 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 ra_add_card tool do? +

Save a credit card for sending payments. This requires the user to interact with a browser — the AI agent should prompt the user to run ra add-card in their terminal. The user's card is saved securely via Stripe Checkout (Ra Pay never sees card data). After saving a card, the user can send payments with ra send without needing a full Stripe Connect account.. It is categorised as a Write tool in the Ra Pay MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ra_add_card? +

Register the Ra Pay MCP server in PolicyLayer and add a rule for ra_add_card: 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 Ra Pay. Nothing to install.

What risk level is ra_add_card? +

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

Can I rate-limit ra_add_card? +

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

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

ra_add_card is provided by the Ra Pay MCP server (@rapay/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 Ra Pay tool call.

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