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Novarithm Agent Hub: trust and commerce checks

fx_sar_qar

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
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 paid x402 flow, the exact price ($0.002 USDC/call) and chain (eip155:8453), the data provenance (ECB fixing, official peg), the derivation method (direct, cross via EUR, peg-derived) and the guarantee of no estimation. It does not cover failure/refund behavior, staleness or latency, or how often the fixing updates, which is the remaining gap for a paid call.

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 with the payment terms front-loaded in brackets so cost is visible before the agent commits, followed by the data provenance. It is efficient, though the middle clause stacking three derivation methods ('direct, cross via EUR or peg-derived') reads as one run-on and would scan better as a short list.

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

Completeness5/5

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 tool this covers everything the agent needs to decide and act: what the rate is, where it comes from, how it is derived, that it is not an estimate, and that calling it costs USDC on Base. The only unfilled area is error/refund semantics, which is minor against the otherwise complete picture.

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 input schema has zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-parameter tool applies. The description instead spends its words on what the response carries (rate, rate date, method, source attribution), which is the useful equivalent 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 precise resource — the official SAR/QAR reference rate from the ECB fixing, with fallback to the QAR peg — which is unambiguous against the hundreds of fx_* pair siblings because the pair is baked into the tool name. It stops short of 5 because it never contrasts itself with the other ways to obtain the same number (fx_sar_usd, fx_usd_qar, fx_convert, fx_latest), leaving the agent to infer that this is the direct pair rather than a derived cross.

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 or when-not-to-use guidance. The agent is told the price and that the result is 'deterministic, sourced, no estimate', which hints the tool suits audit/compliance use, but nothing says to prefer fx_convert for conversions, fx_timeseries for history, or fx_latest for multi-pair snapshots. For a catalogue with this many overlapping FX endpoints, that omission matters.

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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