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Launch Lab XRP Data

xrp_paid_endpoints

List the live, pay-per-call XRP data endpoints (x402 on the XRP Ledger, 0.001-0.05 XRP per call) and how an agent pays for them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the pricing band (0.001-0.05 XRP per call) and the payment rail (x402 on the XRP Ledger), which is real context an agent needs before invoking. However, it does not state whether the call itself is free/read-only, whether authentication is required, or whether the listed endpoints are live-verified, leaving the safety and auth profile implicit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence that front-loads the core action ('List the live, pay-per-call XRP data endpoints') and appends the payment context. No filler, no repetition of the tool name, and the most decision-relevant detail comes first.

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?

For a zero-parameter, no-annotation, no-output-schema listing tool, the description covers what the agent gets back (the endpoints plus the payment mechanism) and the cost range. The remaining gap is practical: it does not say how to actually invoke a paid endpoint or whether the listing includes usage limits, which would help an agent act on the result.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool applies. The description does not invent or imply any hidden inputs, which 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 ('List') and a well-scoped resource ('live, pay-per-call XRP data endpoints'), with the x402 protocol and price band as qualifiers. An agent can tell this is a discovery/index tool rather than a data-fetch tool, but the description never names or contrasts itself with the siblings xrp_brief_sample or xrp_track_record, so differentiation is left to inference.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance, no prerequisite, and no statement of when this tool should be preferred over the sibling xrp_brief_sample or xrp_track_record. The phrase 'and how an agent pays for them' hints at the use case (payment onboarding) but stops short of telling the agent when to call this versus alternatives.

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

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