Grant or revoke preauthorization for an account to deliver payments to your account
AI agents use deposit-preauth to create or update resources in Xrpl mcp — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Xrpl mcp environment.
This tool modifies authorization settings on the XRP Ledger — granting or revoking preauthorization for payments. It creates or changes ledger state in a reversible way (a revoke can undo a grant and vice versa), so it falls under Write. It does not itself move funds, execute code, or irreversibly destroy data.
From the tool's definition Grant or revoke preauthorization for an account to deliver payments to your account
Documented attack patterns abuse exactly the kind of access deposit-preauth gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Xrpl mcp, and nothing reaches the server without passing your rules. This is the rule we recommend for deposit-preauth:
{
"version": "1",
"default": "deny",
"tools": {
"deposit-preauth": {
"limits": [
{
"counter": "deposit-preauth_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}deposit-preauth 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.
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Grant or revoke preauthorization for an account to deliver payments to your account. It is categorised as a Write tool in the Xrpl mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Xrpl MCP server in PolicyLayer and add a rule for deposit-preauth: 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 Xrpl mcp. Nothing to install.
deposit-preauth is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the deposit-preauth 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.
Set action: deny in the PolicyLayer policy for deposit-preauth. 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.
deposit-preauth is provided by the Xrpl MCP server (romthpt/mcp-xrpl). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Xrpl mcp, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
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