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order_stack_check

Opslane Stack Check — 19 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/stack-check (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_stack_check"
  }
}

Input Schema

NameRequiredDescriptionDefault
buyerNo
inputsYesRequired: brief
callback_urlNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.1/5.0
Behavior3/5

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

With no annotations supplied, the description carries the full burden, and it does disclose useful traits: cost (19 USD per call), payment rails (USDC on Base via x402, RLUSD/XRP on XRPL), and an async execution model returning order_id plus status_url. That is genuine behavioral context, but it omits what the check does, what the returned status_url eventually yields, and whether the paid call is refundable if inputs are invalid.

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 text is compact and reasonably front-loaded, but the leading slot is spent on pricing rather than purpose, and the payment/endpoint detail crowds out the capability statement an agent needs first. Sentences are terse yet dense with URL and body syntax that could be moved behind the core description.

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 tool with three parameters, a nested "inputs" object, and no output schema, the description leaves major gaps: what the brief should contain, what buyer carries, and what the asynchronous result ultimately reports. Payment mechanics are covered thoroughly; the actual operation and its contract are not.

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 coverage is low (33%), with only "inputs" described as requiring a "brief", while "buyer" and "callback_url" are undocumented anywhere. The description partially compensates by showing a quote body of {currency, inputs}, but that currency field does not even appear in the tool's own schema, and it never explains the buyer object or how callback_url relates to the async order_id/status_url flow.

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

Purpose2/5

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

The description leads with a product name and price ("Opslane Stack Check — 19 USD") and never states what a stack check actually examines or produces. It restates the tool name rather than defining a verb+resource, and gives an agent no way to tell it apart from siblings like order_lint or order_skill_scan_lite.

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

Usage Guidelines1/5

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

There is no when-to-use guidance at all — no trigger conditions, no prerequisites beyond payment, and no named alternative among the eight sibling tools. The only directives are pricing and payment rails, which describe how to pay rather than when this tool is the right choice.

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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