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nohosa001-pixel

EUDR Compliance & TRACES-NT Agent

eudr_create_payment_order

Create an on-chain USDC payment order for a SaaS subscription with budget guardrails. Returns deposit address, amount, invoice, and QR payload.

Instructions

Creates an on-chain USDC payment order for SaaS plan subscription with budget guardrails. Returns deposit wallet address, amount, invoice number, and QR payload.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoBlockchain network for USDC payment.Base (Low Gas $0.01)
plan_tierYesSubscription tier to purchase.
vat_numberNoOptional EU VAT number.
company_nameYesLegal company name.
contact_emailYesContact email for invoice delivery.
billing_countryNoCountry of tax registration.
max_budget_usdcNoOptional AI Agent safety budget cap. Raises error if order amount exceeds this ceiling.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden. It makes clear this is an order-creation action, mentions budget guardrails, and specifies exactly what the caller receives. It does not discuss auth or order expiration, but those are minor gaps for a creation tool.

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?

The description is two tight sentences: the first front-loads what the tool does, and the second lists the return payload. There is no filler, redundancy, or buried detail.

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?

All 7 parameters are covered by the schema, and the description compensates for the missing output schema by explicitly listing the returned fields. It does not describe the post-order confirmation flow, but that is outside the single tool's responsibility.

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 description coverage is 100%, so each parameter is already documented in the input schema. The description adds high-level context such as USDC, subscription, and budget guardrails, but not parameter-specific detail — which is acceptable given the schema coverage.

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?

The description states a specific verb and resource: it creates an on-chain USDC payment order for a SaaS plan subscription. It also names the key returned artifacts (deposit wallet address, amount, invoice number, QR payload), making it clearly distinguishable from siblings like eudr_confirm_payment.

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 context is clear — this tool creates a payment order for a subscription — but it does not explicitly say when not to use it or mention that eudr_confirm_payment is the natural follow-up. The usage guidance remains implied rather than explicit.

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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