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Novarithm Agent Hub: trust and commerce checks

fx_sek_isk

[PAID $0.002 USDC/call, x402, eip155:8453] Official SEK/ISK reference rate: latest European Central Bank fixing (or the official peg when ISK 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_isk"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries full behavioral burden and does add real value: it discloses pricing ($0.002 USDC/call), the payment protocol and network (x402, eip155:8453), that results are deterministic and sourced with no estimation, and that the peg path may be used instead of a direct fixing. It stops short of stating rate-limit, caching/freshness windows, or failure behavior, but the payment and sourcing disclosures go well beyond structured fields.

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?

A single, front-loaded sentence with the paid-call metadata first and the substantive semantics after; every clause (source, peg fallback, returned fields, determinism) carries information. It is dense but not padded, with only minor cost in the long enumerated middle clause.

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, single-purpose rate lookup with no output schema, the description enumerates the returned elements (rate date, derivation method, source attribution) and states the pricing model, which is nearly everything an agent needs. Missing only response shape/format details and freshness guarantees, which are minor at this complexity.

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 of 4 applies; nothing in the schema needs explaining. The description correctly implies the pair is fixed by the tool identity rather than passed as an argument.

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-resource pair implicitly (retrieve the official SEK/ISK reference rate) and identifies the exact source, latest ECB fixing, plus the fallback rule when ISK is pegged. The currency pair in the name plus the ECB framing separates it from the hundreds of sibling fx_* pairs, though it never names related siblings like fx_convert or fx_timeseries.

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?

Usage is only implied: the phrase 'reference rate: latest ECB fixing' signals a spot-reference lookup rather than a conversion, and the cost tag signals a paid call. There is no explicit when-to-use statement, no mention of when to prefer fx_convert (amount-based conversion) or fx_timeseries, and no exclusion 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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