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Novarithm Agent Hub: trust and commerce checks

fx_pln_bhd

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

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 a fair job: it discloses the paid cost ($0.002 USDC/call), the payment protocol and network (x402, eip155:8453), the data source and fallback logic (ECB fixing or official peg), and quality traits (deterministic, sourced, no estimate). It stops short of disclosing caching/freshness semantics, failure behavior, or whether repeat calls are billed again.

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?

A single dense sentence with the payment metadata bracketed up front — no wasted prose and the core claim lands early. The cost/protocol prefix is placed ahead of the actual purpose, which slightly delays the primary signal but is defensible for a pay-per-call tool.

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?

There is no output schema, so the description must convey return content, and it does: rate, rate date, derivation method, and source attribution. What is missing is scale/precision (units per PLN) and handling of a stale or unavailable fixing, but nothing critical to calling a zero-parameter tool is absent.

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, which is the baseline-4 case; there is nothing for the description to disambiguate. The description does implicitly confirm the pair is fixed by the tool itself rather than passed in, which is a useful cue for an agent used to parameterized FX tools.

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?

Names the exact resource (PLN/BHD official reference rate) and specifies the source (ECB fixing, or peg when pegged), so an agent can tell it apart from the other ~1000 pair-named siblings by currency pair alone. It does not, however, distinguish itself from the non-pair siblings that could serve a similar need (fx_latest, fx_convert, fx_timeseries), so the differentiation is partial rather than complete.

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 only implied: an agent can infer this is the tool for an official PLN/BHD quote rather than a converted amount or a time series. There is no explicit when-to-use statement, no exclusion (e.g. 'for historical series use fx_timeseries'), and no note about what to do when a peg is not applicable.

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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