Skip to main content
Glama

Look Up NFT Issuer

lookup_nft_issuer
Read-onlyIdempotent

Look up an organisation in the AgentTrust XRPL NFT Issuer Registry.

Instructions

Look up an organisation in the AgentTrust XRPL NFT Issuer Registry.

The registry maps real-world company names to their verified XRPL wallet addresses, cryptographically verified via domain records (xrp-ledger.toml) and on-chain AccountSet transactions. Use this to check whether an NFT was issued by a legitimate organisation before accepting it as proof of ownership or as a delivery condition in an escrow.

Results are exact-match or close-match only. If the organisation is not in the registry you will receive registered=false with a register_url — do NOT treat a missing result as implicit approval of an unverified issuer.

Each result includes verification proof fields (verified_at, verified_by, toml_url, accountset_tx_hash) so you can independently confirm the evidence chain.

Status values:

  • "verified": bidirectional domain + on-chain proof confirmed

  • "public": self-attested, not independently verified — treat with caution

  • "pending": submitted, awaiting verification

  • "disputed": verification challenged — do not accept as proof

  • "revoked": previously verified, now withdrawn

Returns: registered (bool), results list with name/xrpl_wallet/verified/domain/proof fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesCompany name (e.g. 'Ripple') or XRPL wallet address to look up in the issuer registry.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv3.1.0
    • addedInput schema / properties / query / title
      Added value: +"Company Name or Wallet Address"
  2. First observedv0.1.0

TDQS

A4.3/5.0
Behavior5/5

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

Goes well beyond the readOnly/idempotent/openWorld annotations: it enumerates all five status values with their trust implications, explains that matching is exact or close only, describes the registered=false + register_url failure mode, and lists the proof fields (verified_at, verified_by, toml_url, accountset_tx_hash) that allow independent confirmation. This is exactly the trust-relevant behavior an agent needs.

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?

Front-loaded with the core purpose, then a use case, then caveats, then the status enum, then returns — a sensible ordering with no filler sentences. It is on the long side, but the status-value list and the missing-result warning each carry distinct decision-relevant information.

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?

For a read-only, open-world lookup, the description covers purpose, trust interpretation of every status, the negative-result case, and the evidence fields. An output schema exists so return values need not be restated, yet the description's summary of returns remains useful without being redundant.

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?

Schema coverage is 100% for the single query parameter, so the baseline is 3. The description still adds value by clarifying matching semantics (exact-match or close-match only) and by confirming the dual company-name / wallet-address input mode that governs which sibling is appropriate.

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

Purpose4/5

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

States a specific verb (look up) and resource (organisation in the AgentTrust XRPL NFT Issuer Registry) and describes what the registry maps (company names to verified XRPL wallet addresses). It does not explicitly distinguish itself from the sibling get_nft_issuer_by_wallet, which appears to be a near-duplicate lookup, so the agent must infer the split from the query parameter.

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?

Gives a concrete use case (checking whether an NFT was issued by a legitimate organisation before accepting it as proof of ownership or as an escrow delivery condition) and an explicit anti-pattern (do not treat a missing result as implicit approval). It never names an alternative sibling such as get_nft_issuer_by_wallet or verify_nft_ownership, so routing between near-duplicate lookups is left to inference.

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