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Novarithm Agent Hub: trust and commerce checks

fx_cad_thb

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the whole burden and does well: it discloses the payment/access model ($0.002 USDC per call, x402, eip155:8453), the upstream source (ECB), the derivation method (direct, cross via EUR, or peg-derived), and the determinism guarantee ('no estimate'). It stops short of stating freshness/caching cadence (ECB publishes roughly once per business day) or that this is a read-only snapshot with no side effects.

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?

It is a single dense sentence plus a bracketed cost/transport prefix, front-loaded with the price and the subject. Every clause (source, method, date, attribution, determinism) adds information, though the parenthetical method list makes the sentence heavier than necessary.

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

Completeness3/5

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 the returned fields (rate, rate date, method, source attribution). However, it leaves two things an agent needs unresolved: the quote direction and the update cadence of the underlying ECB fixing, both of which matter for any downstream conversion.

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 of 4 applies. The description correctly frames the tool as a no-argument, pair-fixed lookup rather than a parameterized conversion call, which prevents an agent from hunting for base/quote arguments.

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 states a specific resource and provenance: 'Official CAD/THB reference rate: latest European Central Bank fixing,' which separates it from the many generic fx_* siblings by naming both the pair and the data source. One gap keeps it from a 5: it never states the quote direction (CAD-per-THB vs THB-per-CAD), which matters for a rate tool whose name only implies a pair.

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?

It says what the rate is but never when to pick this pair tool over fx_convert, fx_latest, or fx_timeseries, nor does it say whether the paid call is worth it versus a bulk/convert endpoint. Usage is only implied by the pair name, with no explicit exclusions or alternatives.

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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