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order_wrong_buy_remediation

Opslane Wrong-Buy Remediation — 49 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/wrong-buy-remediation (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_wrong_buy_remediation"
  }
}

Input Schema

NameRequiredDescriptionDefault
buyerNo
inputsYesRequired: brief
callback_urlNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
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 it does disclose genuinely useful behavior: a $49 per-call cost, the two accepted payment rails, and that execution is async returning order_id plus status_url. However, it omits what the remediation actually does to the order, whether it is irreversible or destructive, and what permissions or preconditions it needs.

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 single dense paragraph front-loads price and payment rails, which is defensible, but it spends most of its length on commerce mechanics while under-describing the operation itself. It is efficient in wording but misprioritized in content.

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

Completeness3/5

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 objects and no output schema, the description usefully supplies the return shape (order_id, status_url) and payment requirements. It still leaves the core action, the buyer object, callback semantics, and polling behavior undescribed, so it is only partially complete.

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 only 33%, so the description needs to compensate. It partially documents `inputs` by tying it to the quote body ({currency, inputs}) and notes `inputs` requires a "brief", but `buyer` (a nested object) and `callback_url` are left completely unexplained in both schema and description.

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 the domain concept ("Wrong-Buy Remediation") but never states a concrete action verb — it does not say whether the tool refunds a buyer, cancels an order, or reverses a trade. The bulk of the sentence is pricing and payment-rail mechanics rather than purpose, and it draws no distinction from the eight sibling order_* tools.

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 on when to invoke this tool versus siblings like order_audit or order_escrow_red_flag_peek, and no exclusions or prerequisites. The only conditional information is payment-method choice (x402/USDC on Base vs RLUSD/XRP on XRPL), which is invocation plumbing, not usage 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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