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Novarithm Agent Hub: trust and commerce checks

fx_gbp_nzd

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

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
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 on the highest-risk behavior: it discloses that the call costs $0.002 USDC via x402 on eip155:8453, so an agent knows payment/auth is required before invoking. It also discloses the peg fallback path and that values are non-estimated. It does not mention rate limits, staleness windows, or error behavior, which keeps it below a 5.

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 sentences, front-loaded with the payment banner and then the substantive description, with no filler. The bracketed cost/protocol prefix is dense but each element (price, protocol, chain id) is operationally relevant. Slightly cramped phrasing ('peg-derived) and the source attribution') but nothing is wasted.

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-annotation tool with no output schema, the description covers what an agent needs: the data source, the fallback logic, the non-estimated guarantee, and the fields returned (rate, rate date, method, source attribution). Without an output schema, the exact response shape and field names remain unspecified, which is the one meaningful gap.

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 convey and the baseline of 4 applies. The description correctly adds no parameter prose and instead spends its words on source and payment context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific resource with its exact data source: 'Official GBP/NZD reference rate: latest European Central Bank fixing'. The currency pair is pinned by both the name and the description, so an agent can distinguish it from the other fx_* pair tools and from fx_convert/fx_timeseries without opening any schema.

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?

Implies the use case through 'deterministic, sourced, no estimate' and 'official peg when NZD is pegged', which suggests reference/audit purposes rather than conversion math. However, it never explicitly says when to prefer this over fx_convert, fx_latest, or fx_timeseries, nor does it state any exclusions. Usage is inferable but not stated.

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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