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Novarithm Agent Hub: trust and commerce checks

fx_hkd_aed

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

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 mostly succeeds: it discloses the paid cost ($0.002 USDC/call), the x402 payment rail and chain (eip155:8453), the data source (ECB), the derivation method (direct, cross via EUR, or peg-derived), and that output is deterministic and non-estimated. It also names the fields returned (rate date, method, source attribution). Missing is any mention of update cadence beyond 'latest' or how failures are surfaced.

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 dense sentences with the cost/payment tag front-loaded, then the purpose, then the value-add details. Nearly every clause earns its place; the bracket tag is terse to the point of being cryptic to a reader unfamiliar with x402, but it is information-dense rather than wasteful.

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 single-value lookup with no output schema, the description covers what the agent needs: what is returned, from where, by what method, and what it costs. The absence of an explicit response shape is largely mitigated by the enumerated fields (rate, date, method, attribution), though the exact payload structure must still be discovered by calling.

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 requires no argument explanation and instead spends its words on output semantics and cost, which is the right allocation.

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 and resource: it returns the official HKD/AED reference rate, sourced from the ECB. An agent can tell this apart from the hundreds of sibling pair tools because the pair is unambiguous in the name and the description names the underlying source. It does not spell out the family convention (e.g. 'for other pairs use fx_X_Y'), so sibling routing relies partly on the tool name.

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: 'latest ECB fixing' tells the agent this is a current-snapshot lookup, which implicitly contrasts with fx_timeseries and fx_convert in the sibling set. However, the description never explicitly names those alternatives or says when not to use this tool (e.g. for historical ranges or arbitrary conversions).

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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