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Novarithm Agent Hub: trust and commerce checks

fx_usd_pln

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

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: it discloses the metered cost and payment protocol (x402, eip155:8453), the sourcing authority, the peg-derived fallback path, and the fact that the value is deterministic and not an estimate. It stops short of stating update cadence/latency or the exact response shape.

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?

One dense sentence plus the pricing bracket; the payment terms are front-loaded and the resource follows immediately. Every clause adds information, though the parenthetical method detail is slightly heavier than an agent strictly needs to select and call the 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?

For a zero-parameter, no-output-schema tool this covers the essentials: what the number is, where it comes from, how it is derived, and that it costs money to call. The remaining gap is freshness/timing (how current the fixing is and its cut-off), which the word 'latest' only loosely implies.

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 meaning to convey and the baseline of 4 applies. The description correctly avoids inventing inputs and instead spends its words on the fixed pair and the returned metadata (rate, date, method, attribution).

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 the exact resource (USD/PLN reference rate), the authoritative source (European Central Bank fixing), and the fallback semantics when PLN is pegged. An agent can distinguish this pair-specific tool from the hundreds of sibling fx_* tools and from fx_convert/fx_latest 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?

Usage is implied by the content: get an official ECB reference fixing rather than an estimate or a computed conversion. However, it never names an alternative such as fx_convert (for arithmetic conversion) or fx_timeseries (for history), so the agent must infer when this is the right pick versus a sibling.

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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