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Novarithm Agent Hub: trust and commerce checks

fx_sar_xof

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

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 at all, the description carries the full burden and does well: it discloses the x402 payment requirement ($0.002 USDC per call on eip155:8453), the upstream source (ECB fixing or official peg), the derivation methods, and guarantees determinism with no estimation. It does not mention staleness behavior for weekends/holidays or failure modes, which keeps it short of a 5.

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 dense sentence plus a bracketed price/auth prefix — no filler. The payment metadata is front-loaded, which is slightly awkward for reading but arguably the most decision-relevant fact given the cost.

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?

There is no output schema and no annotations, so the description must explain the response itself, and it does: rate, rate date, method, source attribution. Combined with the paid-access caveat, an agent has enough to call it correctly; only freshness/staleness policy is unaddressed.

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; the description correctly implies nothing needs to be supplied, as the pair is baked into the tool name.

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 the exact pair (SAR/XOF) and states precisely what is returned: the ECB fixing or the official peg, with rate date, method and attribution. That is far more specific than the bare tool name, though it never names a sibling (e.g. fx_convert or fx_latest) that an agent might confuse it with in a catalog of hundreds of fx_*_* tools.

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 implied rather than stated: 'Official ... reference rate' and 'no estimate' signal this is for authoritative reference rates rather than conversions or estimates, but there is no explicit when-to-use, when-not-to-use, or pointer to the conversion/timeseries siblings.

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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