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Novarithm Agent Hub: trust and commerce checks

eu_ready_check

[PAID $0.010 USDC/call, x402, eip155:8453] Before buying or selling a product in the EU: Safety Gate alerts (barcode or brand+words), GPSR manufacturer / EU responsible person on the page, seller sanctions (OFAC/UN/EU/UK) and price at the ECB rate, with a ready/review/block decision.

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": "eu_ready_check"
  }
}

Input Schema

NameRequiredDescriptionDefault
toNoTarget currency (default EUR)
urlNoProduct page URL (optional if gtin or query + seller are given)
gtinNoEAN/UPC/GTIN barcode for an exact Safety Gate match
priceNoPrice to convert when there is no page
queryNoProduct name / brand words when there is no page or barcode
sellerNoSeller or brand legal name to screen (default: seller found on the page)
currencyNoISO 4217 currency of price

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / price / minimum
      Added value: +0
  2. Added

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does meaningful work: it discloses the paid model ($0.010 USDC/call, x402, eip155:8453) and the shape of the outcome (ready/review/block). It does not cover failure modes, what happens when inputs are insufficient, or data freshness of the underlying lists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single tightly packed sentence with zero filler; the payment tag is front-loaded and the checks plus the decision output follow immediately. Nothing could be removed without losing signal.

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 7-parameter composite with no annotations and no output schema, the description names the checks and the verdict categories but not the report contents, what distinguishes 'review' from 'block', or behavior when only partial inputs are supplied. Adequate to call it, not enough to interpret the result confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so every parameter is already documented inline. The description adds some conceptual mapping by naming input modes (barcode, brand+words, page), but it does not clarify precedence or how combinations resolve beyond what the schema already states.

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 uses a specific verb phrase and enumerates exactly what is checked: Safety Gate alerts, GPSR manufacturer/EU responsible person, seller sanctions lists, and ECB-rate pricing, ending in a ready/review/block verdict. It is clearly distinguishable in substance from siblings like recall_search or sanctions_screen, though it never names them.

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?

The trigger context ('Before buying or selling a product in the EU') is stated, which implies when to call it. However, no alternatives are named despite heavy overlap with siblings (pre_purchase_check, gtin_recall, recall_search, sanctions_screen, fx_convert), leaving the agent to infer why this composite should be chosen over the narrower tools.

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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