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Novarithm Agent Hub: trust and commerce checks

fx_eur_sar

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

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 the full burden and does well: it discloses the paid x402 model and price ($0.002 USDC/call on eip155:8453), that the value is deterministic and sourced rather than estimated, and that results may come from a direct fixing, an ECB cross, or a peg-derived value. Gaps remain on rate limits, failure behavior when the ECB does not publish (weekends/holidays), and response shape beyond the three named 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?

One sentence, no filler, with the commercial terms bracketed up front and the substantive definition after. Slight inefficiency: the per-call price and chain ID are front-loaded ahead of the actual purpose, so an agent scanning for 'what does this do' hits payment metadata first.

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 tool with no output schema, the description usefully enumerates what comes back (rate, rate date, method, source attribution) and pre-empts the peg/derivation ambiguity. The one material omission is quote direction and units — whether the returned number is EUR per SAR or SAR per EUR — which matters for an FX pair tool and is stated nowhere else.

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 to disambiguate and the baseline of 4 applies. The description correctly frames it as a fixed, zero-input lookup rather than leaving the agent wondering whether a date or amount can be supplied.

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?

States a specific verb+resource: 'Official EUR/SAR reference rate: latest European Central Bank fixing', plus the peg fallback and the derivation method. It is clearly distinguishable from the hundreds of sibling pair tools by the pair named. What it does not do is differentiate itself from generic siblings like fx_latest, fx_convert or fx_timeseries, which could plausibly return the same pair.

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: the agent can infer 'call this when you need the EUR/SAR reference rate'. There is no explicit when-not, no pointer to fx_convert for arithmetic conversion, and no pointer to fx_timeseries for historical series, even though those siblings exist and overlap in the obvious ways.

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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