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Novarithm Agent Hub: trust and commerce checks

fx_gbp_myr

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

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 substantial work: it discloses the price and payment rail ($0.002 USDC via x402 on eip155:8453), the data authority (ECB), the fallback to an official peg when MYR is pegged, and that values are deterministic and never estimated. It stops short of describing behavior on weekends/holidays when no fixing is published, or how to interpret the returned date relative to today.

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?

Three compact sentences, front-loaded with the paid/call cost banner so the agent knows the charge before invoking, then purpose, then provenance. Density is high but nearly every clause carries decision-relevant information; the bracketed payment metadata is slightly noisy but justified for a paid endpoint.

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, no-output-schema definition this is close to complete: it covers source, method variants (direct, cross via EUR, peg-derived), attribution, and the no-estimate guarantee. The remaining gap is failure/staleness behavior — what the tool returns if the ECB has not published a fixing — which an agent needs before paying per call.

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 usefully implies the response fields (rate date, computation method, source attribution) even though no parameters exist.

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 resource (the official GBP/MYR reference rate) and its provenance (ECB fixing or official peg), which is far more precise than the tool name alone. The only ambiguity is directionality — 'GBP/MYR' does not state whether the rate is GBP per MYR or MYR per GBP, and no sibling (fx_convert, fx_latest, fx_timeseries) is named for contrast.

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 by the fixed currency pair and the 'reference rate' framing, so an agent can infer this is for GBP↔MYR lookups rather than arbitrary conversion. However, there is no explicit guidance on when to prefer this over fx_convert (conversion), fx_latest (all pairs), or fx_timeseries (historical), and no statement about staleness or non-publishing days.

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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