xrpl_beacon_pulse
Read the OracleNet beacon. Mesh health, settlement lanes (XRPL + Base), join instructions. The heartbeat of the autonomous agent economy.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read the OracleNet beacon. Mesh health, settlement lanes (XRPL + Base), join instructions. The heartbeat of the autonomous agent economy.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It discloses that this is a read operation and specifies the kind of data returned (mesh health, settlement lanes, join instructions). However, it does not provide details on output format, latency, or access requirements, which would be useful for a complete behavioral picture.
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 and front-loaded with the primary action. The final sentence ('The heartbeat of the autonomous agent economy') is metaphorical and not strictly necessary, but it does not detract significantly. Overall, it is concise and readable.
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 having no output schema, the description lists the main types of information returned (mesh health, settlement lanes, join instructions), which is adequate for a simple parameterless read tool. It does not go into deeper interpretation details, but the low complexity and clear purpose make the description sufficiently complete.
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 tool has 0 parameters, so the baseline is 4. The description adds no parameter-specific semantics, but none are needed since the input schema is empty and description already clarifies the tool's scope.
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 verb 'Read' and the specific resource 'OracleNet beacon'. It also enumerates what the tool provides (mesh health, settlement lanes, join instructions), making it distinct from sibling tools like xrpl_settlement_status or xrpl_overview.
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 usage by listing what information can be obtained (mesh health, settlement lanes, join instructions), but it does not explicitly state when to prefer this over siblings or mention any alternatives. The context is clear but lacks explicit exclusions or comparisons.
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.