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Novarithm Agent Hub: trust and commerce checks

pre_purchase_check

[PAID $0.08 USDC/call, x402, eip155:8453] Bundle before paying: verified price/stock (schema.org), seller trust score (RDAP, TLS, DMARC, policies, phishing lists) and recall status (CPSC, openFDA, RappelConso) for a product URL, with a proceed/caution/stop decision.

Input Schema

NameRequiredDescriptionDefault
urlYesProduct page URL
gtinNoOptional EAN/UPC/GTIN for an exact recall match (else taken from the page if present)
queryNoOptional recall keywords (product/brand/model) when no GTIN
marketNoRecall market (default us)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / market / enum
      Added value: +[
      +  "us",
      +  "fr",
      +  "all"
      +]
  2. First observed

TDQS

A3.8/5.0
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 disclose the most important behavioral trait: it is a paid tool at $0.08 USDC/call via x402 on eip155:8453. It also names the underlying data sources (RDAP, TLS, DMARC, CPSC, openFDA, RappelConso), which explains what is actually checked. It does not cover rate limits, failure/degradation behavior, or latency, 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?

A single dense sentence with no filler, with the price/payment tag front-loaded and the purpose immediately after. The bracketed metadata prefix is slightly noisy but carries information an agent needs before invoking a paid 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?

No output schema exists, so the description must describe the return; it conveys the decision outcome (proceed/caution/stop) and the three verification dimensions, but not the result object's shape or how conflicting signals resolve into a verdict. For a 4-parameter aggregator tool this is close to sufficient but not complete.

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?

Schema coverage is 100%, so the baseline is 3; the description adds real meaning by naming the recall agencies behind the `market` enum (CPSC/openFDA for US, RappelConso for FR) and by framing the call as URL-centric with GTIN as the precise-match path. It still doesn't explain the gtin-vs-query precedence explicitly, only via the schema text.

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 names a concrete action (bundle pre-purchase verification), the input unit (a product URL), the three bundled checks (price/stock, seller trust, recall), and the output (proceed/caution/stop). Listing those three components implicitly separates it from the single-purpose siblings (price_availability, seller_reputation, gtin_recall), though no sibling is named explicitly.

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?

"Bundle before paying" implies the moment of use (pre-checkout), but there is no explicit when-not guidance or routing to alternatives — nothing says whether to call this instead of the three atomic siblings, or when to prefer a lighter call.

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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