xrpl_token_check
XRPL issued currency risk check: issuer trust, supply, freeze capability, compliance
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| issuer | No | ||
| currency | No |
XRPL issued currency risk check: issuer trust, supply, freeze capability, compliance
| Name | Required | Description | Default |
|---|---|---|---|
| issuer | No | ||
| currency | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It lists risk factors checked but does not disclose whether the tool is read-only, what data it queries, its output format, or any limitations. The read-only nature is only inferred from 'check.'
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, compact sentence that front-loads the purpose and lists key risk categories efficiently. There is no filler or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite the simple parameter set, the description omits return value and usage context. An agent would not know what the check returns or when to prefer this over xrpl_compliance_check, leaving the description incomplete for reliable selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has two parameters with 0% description coverage, and the description does not explain 'issuer' or 'currency' in terms of format or expected values. While the parameter names are self-evident, the description fails to compensate for the missing schema-level details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description specifies the tool as an XRPL issued currency risk check and lists concrete risk dimensions (issuer trust, supply, freeze capability, compliance), which helps differentiate it from generic account or transaction tools. However, it does not explicitly contrast with sibling tools like xrpl_compliance_check or xrpl_rwa_scoring.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The phrase 'risk check' implies usage but the description lacks prerequisites, exclusions, or comparison to sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools have overlapping purposes, particularly the escrow check/monitor pair and the many RLUSD tools covering supply, integrity, holders, and compliance. Account-related tools like account_intel, gateway_balances, and token_check also share boundaries. An agent would need careful reading to choose correctly.
All tools share the xrpl_ prefix and use snake_case consistently. However, the second part mixes nouns and verbs (e.g., overview, iso20022, path_find, quantum_join), so the pattern is not strictly verb_noun. This is still readable and predictable.
31 tools is on the heavy side for an oracle server, especially with 9 RLUSD-specific tools that could be consolidated. The breadth of XRPL topics is large, but the count feels inflated beyond what an agent needs.
The tool set covers the major XRPL domains: accounts, DEX, AMM, NFTs, escrow, payments, compliance, and RLUSD. There are no glaring dead ends for an oracle use case. Some areas like transaction history are missing, but they fall outside the intelligence scope.