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buy_fx_usd_ron

Paid. USD/RON exchange rate and inverse, latest ECB reference fix. $0.002 USDC on Base or Solana. No account, no API key. Failed calls not charged. URL https://southpow.media/v1/forex-rates/usd-ron.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "buy_fx_usd_ron"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses pay-per-call pricing ($0.002 USDC), accepted payment chains (Base or Solana), that no account or API key is required, that failed calls are not billed, the upstream data source (ECB reference fix), and that the response includes both the rate and its inverse. What is missing is the refresh cadence of the 'latest' fix and whether the value is a point-in-time snapshot versus a series.

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

Conciseness4/5

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

Front-loaded with the decisive fact ('Paid') followed by the resource, price, prerequisites, and endpoint in a tight sequence with almost no filler. The raw URL at the end is the only element that reads as boilerplate rather than agent-facing guidance, and the fragment style ('No account, no API key.') is terse but readable.

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 paid endpoint, the definition covers the things an agent actually needs before spending money: cost, payment rails, auth requirements, billing on failure, and data provenance. The remaining gaps are response shape and update frequency, which are modest given the tool's simplicity.

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 the baseline is 4 and the description correctly spends no words on argument semantics. It does add one useful output-side clarification, that both the USD/RON rate and its inverse are returned, which partly compensates for the absent output schema.

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

Purpose5/5

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

The description names a specific resource and scope: the USD/RON pair, plus the inverse, sourced from the latest ECB reference fix. Because every sibling is a different currency pair (buy_fx_ron, buy_fx_eur_ron, buy_fx_usd_eur), stating the pair is exactly the axis an agent needs to tell this tool apart. No ambiguity about what is being bought.

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

Usage Guidelines3/5

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

Implicit usage only: the pair name signals when this tool applies, and 'Paid ... $0.002 USDC' plus 'No account, no API key' tell the agent about prerequisites. But there is no explicit routing guidance such as 'use buy_fx_eur_ron for EUR/RON' or 'not needed if you already hold a USD/RON quote,' so the when-vs-alternative decision is left to inference.

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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