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sim0ple

aba-payway-mcp

by sim0ple

payway_generate_qr

Generate a payment QR code for KHQR, WeChat, or Alipay with string, PNG image, and ABA deeplink, enabling direct payments without a hosted checkout page.

Instructions

Generate a KHQR / WeChat / Alipay QR code (string + PNG image + ABA deeplink) for a payment, without a hosted checkout page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNo
itemsNo
phoneNo
amountYes
payoutNo
tran_idYes
currencyYes
lifetimeNo
last_nameNo
first_nameNo
callback_urlNoPlain URL; base64-encoded automatically
custom_fieldsNo
purchase_typeNo
return_paramsNo
payment_optionYes
return_deeplinkNo
qr_image_templateNotemplate3_color

Schema Changelog

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

  1. First observedv1.0.2

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the burden of disclosing side effects; it describes the artifacts returned (string, PNG, deeplink) but does not state whether this creates a payment transaction, whether it charges the customer, or whether it is idempotent. Basic return behavior is covered, but broader behavioral effects are omitted.

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 a single, well-formed sentence that packs the core purpose, supported payment methods, output types, and an important usage qualifier without unnecessary words. It is efficient and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 17 parameters, nested objects, no output schema, and no annotations, the description is too sparse to provide complete context. It mentions high-level outputs but omits details about required input relationships, optional parameters, return object structure, and potential error or edge-case behavior. An agent would need substantial external documentation to use this tool confidently.

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

Parameters2/5

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

Schema coverage is only 6%, and the description adds no parameter-level meaning. Several parameters—payout, lifetime, return_params, return_deeplink, qr_image_template—remain unexplained, and the description does not clarify how they relate to generating a QR code. The schema's enums and types provide some structure, but the description fails to compensate for the low 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 clearly identifies the action (generate), the resource (KHQR / WeChat / Alipay QR code), and the output (string + PNG image + ABA deeplink). It also distinguishes this tool from hosted-checkout workflows by saying 'without a hosted checkout page', making its purpose unambiguous relative to sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'without a hosted checkout page' gives useful guidance on when to use this tool instead of payment-link or hosted-page tools. It does not explicitly mention alternatives like payway_purchase for direct charges, but the purpose is clear enough for most selection scenarios.

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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