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Novarithm Agent Hub: trust and commerce checks

fx_sek_krw

[PAID $0.002 USDC/call, x402, eip155:8453] Official SEK/KRW reference rate: latest European Central Bank fixing (or the official peg when KRW is pegged), with the rate date, the method (direct, cross via EUR or peg-derived) and the source attribution. Deterministic, sourced, no estimate.

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": "fx_sek_krw"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations supplied, the description carries the full burden and does so well: it discloses cost ($0.002 USDC/call), the payment protocol and chain (x402, eip155:8453), the data provenance (ECB fixing, or official peg when KRW is pegged), the derivation method (direct, cross via EUR, peg-derived), and guarantees determinism with no estimation. It omits failure/refund behavior and freshness or caching cadence, which are the remaining behavioral unknowns.

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?

The definition is a single dense sentence preceded by a bracketed cost tag, with no filler. Front-loading the price/payment notice before the purpose is defensible for a paid tool, though it does delay the substance slightly, and the packed parenthetical listing three derivation methods reads a little terse.

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-output-schema pricing lookup, the description is nearly self-sufficient: it explains the returned fields (rate date, method, source attribution) that the absent output schema would otherwise have to carry. What is missing is small but real — error/payment-failure behavior and update cadence relative to ECB publication times.

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 and the baseline is 4. The description does not waste words restating parameter behavior, which is appropriate for a parameterless endpoint.

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?

The description names a specific verb and resource: it returns the "Official SEK/KRW reference rate" from the "latest European Central Bank fixing", including what accompanies the rate (date, method, attribution). That is unambiguous and, in a family of hundreds of pair-named fx_* tools, the pair identifier plus source makes the purpose readable. It stops short of naming siblings like fx_convert or fx_latest, so it does not actively differentiate itself.

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 and no alternatives are named. With fx_convert, fx_latest and fx_timeseries in the same toolset, an agent gets no signal about preference. The "latest ... fixing" phrasing only weakly implies that this is for a current official reference rate rather than arbitrary conversions or historical series.

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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