Medium Risk

onboard_agent_setup

Returns the complete autonomous agent setup guide for deploying Payram without any web UI or human interaction.

How to control onboard_agent_setup ↓

AI agents use onboard_agent_setup to create or update resources in PayRam MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your PayRam MCP Server environment.

Medium Risk

An AI agent can call onboard_agent_setup faster than any human can review — one bad instruction and it creates or modifies resources in PayRam MCP Server by the hundred, each call as confident as the last.

Documented attack patterns abuse exactly the kind of access onboard_agent_setup gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and PayRam MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for onboard_agent_setup:

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

onboard_agent_setup stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register PayRam MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

Free to start. No card required.

Go deeper

What does the onboard_agent_setup tool do? +

Returns the complete autonomous agent setup guide for deploying Payram without any web UI or human interaction. It is categorised as a Write tool in the PayRam MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on onboard_agent_setup? +

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

What risk level is onboard_agent_setup? +

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

Can I rate-limit onboard_agent_setup? +

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

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

onboard_agent_setup is provided by the PayRam MCP Server MCP server (payram/payram-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every PayRam MCP Server tool call.

Deterministic rules across all 35 PayRam MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

35 PayRam MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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