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This connector has been deprecated

This connector has been replaced by xrpl-referee.

Get Wallet Setup Guide

get_wallet_setup_guide
Read-onlyIdempotent

Returns the recommended production wallet setup for XRPL agents.

Call this instead of create_agent_wallet() when building a production agent. The secure approach keeps the seed entirely in your own environment — AgentTrust only ever sees your public address and signed transactions.

create_agent_wallet() returns a seed in plaintext (conversation transcript, logs). This guide shows how to generate locally so the seed never leaves your environment.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_wallet_setup_guide"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover the read-only, idempotent, non-destructive profile, but the description goes further by disclosing the security rationale: create_agent_wallet returns a plaintext seed that lands in transcripts and logs, whereas this path keeps the seed local and exposes only the public address and signed transactions to AgentTrust. That is exactly the kind of risk context annotations cannot convey.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The recommendation and the routing instruction are front-loaded, and every sentence carries weight. There is mild redundancy in restating the seed-never-leaves premise in both the second and final paragraphs.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With zero parameters, a full annotation set, and an output schema to describe the returned guide, the description only needs to justify its existence relative to create_agent_wallet — which it does thoroughly via the security tradeoff.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes no parameters, so there is nothing for the description to disambiguate; baseline applies. No parameter detail is needed or expected.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Returns the recommended production wallet setup for XRPL agents') and immediately distinguishes itself from the sibling create_agent_wallet. An agent can pick between the two without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Call this instead of create_agent_wallet() when building a production agent', naming both the alternative and the condition that selects it. The implication for non-production use is clear from the contrast.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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