Join OracleNet via your XRPL wallet. One call: instant Trust Passport, 1,229 compliance tools, cross-chain settlement (XRPL + Base). The gateway to the autonomous agent economy.
| Name | Required | Description | Default |
|---|---|---|---|
| agent_name | No | Your agent name | XRPL Agent |
| xrpl_address | Yes | Your XRPL address (starts with r) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the burden of behavioral disclosure. It fails to do so: it does not mention what actually happens when joining (e.g., account creation, side effects, reversibility, costs, or what 'Trust Passport' means). The marketing-style language ('1,229 compliance tools', 'gateway to autonomous agent economy') does not provide concrete behavioral details.
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 short but not functional conciseness. The second sentence and parts of the first are promotional and do not contribute useful information for an agent. Phrases like 'instant Trust Passport' and 'gateway to the autonomous agent economy' are vague and waste words that could have been used for behavioral or procedural details.
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?
Given the tool's simplicity (2 params, no output schema), the description is still incomplete because it omits what happens after calling the tool, potential side effects, or expected results. The description focuses on selling the outcome rather than explaining the tool's behavior, leaving the agent without enough context to anticipate consequences.
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?
Schema coverage is 100% (both parameters are described in the schema). The description adds no extra meaning to the parameters beyond saying 'xrpl_address' is the wallet address. It aligns with the baseline for high schema coverage, providing no additional semantic benefit.
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 clearly states the tool's purpose: to join OracleNet using an XRPL wallet. It uses a specific verb ('Join') and identifies a distinct resource, differentiating it from sibling tools that are mostly informational or transactional. However, it does not define what 'OracleNet' is, leaving some ambiguity.
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?
The description implies the use case (joining OracleNet) and does not suggest alternatives, but it lacks explicit guidance on when to use this tool versus others, especially since siblings exist. No exclusions or prerequisites are mentioned, so the usage context is only hinted at.
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.