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Novarithm Agent Hub: trust and commerce checks

fx_sek_thb

[PAID $0.002 USDC/call, x402, eip155:8453] Official SEK/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_sek_thb"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
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 substantial work: it discloses a per-call price ($0.002 USDC), the x402 payment scheme and chain (eip155:8453), the authoritative source (ECB), a defined fallback (peg-derived when THB is pegged), the derivation method, and the fact that values are deterministic rather than estimated. What it omits is payment/authorization mechanics (e.g., what happens on insufficient balance) and freshness/latency expectations for a 'latest fixing'.

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 paid-access caveat front-loaded and the data guarantees following. Every clause adds information, though the bracketed payment metadata and the source-attribution clause make it slightly packed for one sentence.

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, the description covers what is returned (rate date, method, source attribution) and where the number comes from, which is exactly what an agent needs to trust and cite the result. It is only marginally short of complete because it does not address freshness or what a caller should do if the fixing is unavailable.

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 is 4 under the rubric. Nothing in the schema needs explaining, and the description correctly implies no inputs are required by naming the fixed currency pair.

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 verb and resource: the official SEK/THB reference rate drawn from the latest ECB fixing, with a named fallback (official peg) when THB is pegged. That is far more concrete than the bare pair name. It does not explicitly distinguish itself from siblings like fx_convert, fx_latest or fx_timeseries, which keeps it below a 5.

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?

There is no when-to-use or when-not-to-use guidance. An agent is not told to prefer fx_convert for arbitrary amounts, fx_timeseries for historical series, or fx_latest for other pairs. The only implied guidance is 'deterministic, sourced, no estimate', which suggests a reference-rate use case but never states a selection rule.

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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