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Novarithm Agent Hub: trust and commerce checks

fx_zar_gbp

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

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?

No annotations are supplied, so the description carries the full burden, and it discloses a lot: per-call price ($0.002 USDC), the x402 payment scheme, the chain (eip155:8453), the data provenance (ECB fixing or official peg), the derivation method, and that values are sourced rather than estimated. It omits publishing cadence and what happens on non-publication days (weekends/holidays), which matters for a fixing-based feed.

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?

Two tight sentences with the payment/transport facts bracketed up front and the data semantics following, so the agent sees cost and chain before anything else. The closing 'Deterministic, sourced, no estimate' is partly redundant with the source attribution but earns its place as a trust signal.

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-argument, no-output-schema endpoint the description covers the essentials: what the number is, where it comes from, how it was derived, what accompanies it (rate date, method, attribution), and what it costs to call. The only real gap is freshness semantics — how often the fixing updates and how stale a value can be when the ECB does not publish.

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 no parameter semantics to explain and the baseline of 4 applies. Nothing in the description misdescribes the empty input contract.

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 (Official ZAR/GBP reference rate), a precise source (latest European Central Bank fixing) and the peg fallback, so the agent knows exactly what value comes back. It does not name sibling alternatives such as fx_latest, fx_convert or fx_timeseries, so the pair-level distinction rests mostly on the tool name rather than the prose.

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 when-to-use / when-not-to-use guidance. With hundreds of near-identical fx_<A>_<B> siblings plus fx_latest, fx_convert and fx_timeseries, the description never says why an agent should call this point-in-time pair endpoint instead of the generic latest, conversion or timeseries tools.

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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