Skip to main content
Glama

Confirm Wallet Ownership

confirm_wallet_ownership

Confirms wallet ownership by validating an XRPL AccountSet transaction and its Memo challenge, then records verification and adds trust score points.

Instructions

Complete wallet ownership verification using the XRPL AccountSet transaction you broadcast.

Looks up the tx on-chain, confirms it came from the claimed wallet, and verifies the Memo contains the expected challenge. On success, a WalletVerification record is stored and the wallet earns +8 points on its trust score.

Returns: verified (bool), wallet, method, tx_hash, message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tx_hashYesThe XRPL transaction hash of the AccountSet tx you submitted with the challenge in a Memo.
issuer_idNoIf you are verifying ownership for an NFT issuer registry entry, provide its ID to mark it verified.
wallet_addressYesThe XRPL wallet address (r...) you are verifying.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.4/5.0
Behavior4/5

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

The description explicitly states side effects: 'a WalletVerification record is stored' and 'the wallet earns +8 points on its trust score.' This makes the non-read-only nature transparent. It does not describe failure scenarios, but that is not required and the main effects are covered.

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 description is concise but includes both the process and the outcome. The 'Returns' section adds useful context without excessive verbosity. It is well-structured and every sentence contributes to understanding the tool.

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

Completeness4/5

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

Given the tool's complexity (on-chain lookup, memo verification, record storage, trust score update), the description covers all essential aspects. The return values are listed, and the process steps are clear. Minor missing details like error handling or exact memo format do not detract significantly.

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

Parameters5/5

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

All three parameters are described with meaningful context: wallet_address is the XRPL address to verify, tx_hash is the transaction hash of the AccountSet, and issuer_id clarifies its role for NFT issuer verification. The descriptions add real semantic value beyond the raw schema.

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?

The description clearly states the action (confirm wallet ownership), the method (using a previously broadcast XRPL AccountSet transaction), and the specific verification steps (look up tx, confirm sender, check memo). It leaves no ambiguity about the tool's purpose.

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

Usage Guidelines4/5

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

It explains the prerequisite (a transaction you broadcast) and what it does on-chain, effectively indicating when to use it (after broadcasting an AccountSet with a challenge memo). It does not explicitly contrast with sibling tools, but the context is clear enough for correct usage.

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