Low Risk

get_payment_options

Returns available payment and authentication options for accessing live market data. Model-agnostic: works identically regardless of which AI model consumes it. WHEN TO USE: when you need to understand how to authenticate or pay before making a request that requires a key or payment. Returns upgr...

Part of the Headless Oracle server.

get_payment_options 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.

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AI agents call get_payment_options to retrieve information from Headless Oracle 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 get_payment_options 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": {
    "get_payment_options": {}
  }
}

See the full Headless Oracle policy for all 4 tools.

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

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These attack patterns abuse exactly the kind of access get_payment_options 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 get_payment_options only ever does what you allow.

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

What does the get_payment_options tool do? +

Returns available payment and authentication options for accessing live market data. Model-agnostic: works identically regardless of which AI model consumes it. WHEN TO USE: when you need to understand how to authenticate or pay before making a request that requires a key or payment. Returns upgrade ladder: sandbox (200 calls free), x402 per-request ($0.001 USDC), x402 sandbox (10 credits for $0.001), credit packs ($5 = 1000 calls), builder subscription ($99/mo = 50K/day). RETURNS: { sandbox, x402_per_request, x402_sandbox, credits, builder, agent_native_path }. No authentication required. Always returns 200.. It is categorised as a Read tool in the Headless Oracle MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_payment_options? +

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

What risk level is get_payment_options? +

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

Can I rate-limit get_payment_options? +

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

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

get_payment_options is provided by the Headless Oracle MCP server (headless-oracle-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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