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order_data_kondo

Opslane Data Kondo — 149 USD, paid per call. Pay in USDC on Base via x402, or RLUSD/XRP on XRPL via POST https://spec72.dev/api/a2a/xrpl/quote/data-kondo (body {currency, inputs}). Async: returns order_id + status_url.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "inputs": "<inputs>"
    },
    "name": "order_data_kondo"
  }
}

Input Schema

NameRequiredDescriptionDefault
buyerNo
inputsYesRequired: brief
callback_urlNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden and does disclose important behavior: paid per call at 149 USD, specific payment rails, and asynchronous return of order_id plus status_url. However, it omits permissions, side effects, failure/refund behavior, callback semantics, and how the delivered result is retrieved.

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

Conciseness3/5

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

The description is compact but front-loads pricing and payment endpoint details ahead of a clear purpose statement. The dense payment/body information is relevant but makes the structure less front-loaded than ideal.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a paid async tool with nested input objects, no output schema, and no annotations, the description is incomplete. It covers payment and async status mechanics but leaves out core input semantics, callback behavior, result retrieval, and what the Data Kondo service actually provides.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 33%, with 'inputs' described merely as 'Required: brief'. The description mentions a quote body containing {currency, inputs} but does not explain the buyer object, callback_url, or the structure of inputs, so it fails to compensate for the schema's gaps.

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

Purpose3/5

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

The description names 'Opslane Data Kondo' and lists pricing/payment rails but never explicitly states what the tool actually does in business terms. It implies an order/purchase flow through 'order_id + status_url', but the purpose remains vague and is not clearly differentiated from the order_* siblings.

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 guidance about when to use this tool versus alternatives, nor any exclusions or prerequisites beyond payment method. The payment options are described mechanically but are not framed as selection guidance.

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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