Low Risk

get_payment_info

Get payment URLs and USDC wallet address for both audit tiers.

Part of the TOP GUN GEO-Lens server.

get_payment_info 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_info to retrieve information from TOP GUN GEO-Lens 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_info 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_info": {}
  }
}

See the full TOP GUN GEO-Lens policy for all 3 tools.

Get this rule live on your own TOP GUN GEO-Lens 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_info 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 get_payment_info 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_info tool do? +

Get payment URLs and USDC wallet address for both audit tiers.. It is categorised as a Read tool in the TOP GUN GEO-Lens MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_payment_info? +

Register the TOP GUN GEO-Lens MCP server in PolicyLayer and add a rule for get_payment_info: 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 TOP GUN GEO-Lens. Nothing to install.

What risk level is get_payment_info? +

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

Can I rate-limit get_payment_info? +

Yes. Add a rate_limit block to the get_payment_info 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_info completely? +

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

get_payment_info is provided by the TOP GUN GEO-Lens MCP server (https://top-gun-mcp-server.vercel.app/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every TOP GUN GEO-Lens tool call.

Deterministic rules across all 3 TOP GUN GEO-Lens tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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

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