Medium Risk

manage_billing

Manage billing, plans, usage, and spending caps for the Butterbase platform account. This is a platform-scoped tool — it operates on the authenticated account, not on a specific app. Actions: - "status": Get current plan, usage summary, and spending cap in one call - "portal": Generate a Stripe b...

Part of the Mcp server.

manage_billing can modify Mcp 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 manage_billing to create or modify resources in Mcp. 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 manage_billing 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 Mcp.

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

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

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

Manage billing, plans, usage, and spending caps for the Butterbase platform account. This is a platform-scoped tool — it operates on the authenticated account, not on a specific app. Actions: - "status": Get current plan, usage summary, and spending cap in one call - "portal": Generate a Stripe billing portal URL for payment method / invoice management - "topup": Add credit to the account balance (prepaid top-up) - "cap_get": Retrieve the current monthly spending cap - "cap_raise": Raise the monthly spending cap by a given amount - "plans": List all available subscription plans with pricing - "usage": Query detailed metered usage for a date range and optional meter type Parameters by action: status: { action: "status" } portal: { action: "portal" } topup: { action: "topup", amount: <number in USD cents> } cap_get: { action: "cap_get" } cap_raise: { action: "cap_raise", raise_by: <number in USD cents> } plans: { action: "plans" } usage: { action: "usage", start_date?: "YYYY-MM-DD", end_date?: "YYYY-MM-DD", meter?: "compute" | "storage" | ... } Examples: Check current plan and balance: Input: { action: "status" } Output: { plan: "pro", balance_cents: 5000, spending_cap_cents: 20000, usage: { ... } } Open billing portal: Input: { action: "portal" } Output: { url: "https://billing.stripe.com/session/..." } Top up $25: Input: { action: "topup", amount: 2500 } Output: { success: true, new_balance_cents: 7500 } Get current spending cap: Input: { action: "cap_get" } Output: { spending_cap_cents: 20000 } Raise spending cap by $50: Input: { action: "cap_raise", raise_by: 5000 } Output: { spending_cap_cents: 25000 } List available plans: Input: { action: "plans" } Output: [{ id: "free", name: "Free", ... }, { id: "pro", name: "Pro", ... }] Query compute usage for April 2025: Input: { action: "usage", start_date: "2025-04-01", end_date: "2025-04-30", meter: "compute" } Output: { usage: [{ date: "2025-04-01", value: 1234 }, ...] } Common errors: - AUTH_INSUFFICIENT_PERMISSIONS: Must be authenticated as the account owner - INSUFFICIENT_BALANCE: Account balance too low for top-up operation - INVALID_AMOUNT: amount / raise_by must be a positive integer (cents). It is categorised as a Write tool in the 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_billing? +

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

What risk level is manage_billing? +

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

Can I rate-limit manage_billing? +

Yes. Add a rate_limit block to the manage_billing 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_billing completely? +

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

manage_billing is provided by the MCP server (@butterbase/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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