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pay_commercial_license

Get payment for a quoted commercial license. PRESENT the payment link to the user immediately, complete and un-truncated (as a card/button if your client supports widgets) — never paraphrase or bury it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
methodYesPayment method. 'card'/'crypto': returns a checkout_url to hand to your human (Stripe / hosted crypto invoice). 'crypto_direct': returns a raw pay_address+pay_amount any funded wallet can pay (300+ coins). 'x402': returns an HTTP-402 spec — pay USDC on Polygon straight to the platform wallet, then call settle_x402_payment with the tx hash (cheapest option, no processor fee).
pay_currencyNo
license_tokenYes

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already indicate readOnlyHint=false, openWorldHint=true, idempotentHint=false, destructiveHint=false, signaling a non-idempotent, side-effect-producing operation. The description adds that it produces a payment link to be presented to the user and warns against paraphrasing. However, it does not disclose potential side effects like creating a pending payment record, link expiration, or rate limits. The description adds some value beyond annotations but could better explain behavioral traits.

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 just two sentences. The first states the purpose concisely, and the second delivers a critical usage instruction in all caps for emphasis. Every word earns its place; there is no redundancy or extraneous information.

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?

This is a payment tool with no output schema and only moderate parameter descriptions. The description does not explain what the tool returns (e.g., checkout URL, pay address, or error details) or how the payment flow continues (e.g., settlement via settle_x402_payment). Sibling tools provide some context, but the description itself is incomplete for an agent to fully understand the tool's role in a multi-step workflow.

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 description coverage is only 33% (only the 'method' parameter has a description). The tool description does not add meaning for the other two parameters ('license_token', 'pay_currency'). The schema already thoroughly documents the 'method' enum, so no extra value there. For the undocumented parameters, the description provides no hints, forcing the agent to infer from context. With low coverage and no compensatory detail, the description underperforms.

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 states the tool's purpose: 'Get payment for a quoted commercial license.' The verb 'get payment' and resource 'commercial license' are specific and unambiguous. This distinguishes it from sibling tools like create_commercial_license, pay_training_job, and settle_x402_payment, which all handle different stages or resources.

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 description includes a strong usage instruction: 'PRESENT the payment link to the user immediately... never paraphrase or bury it.' This tells the agent exactly how to handle the result. It implies the tool should be used after obtaining a quoted commercial license, but it does not explicitly state prerequisites or when not to use this tool (e.g., if the license is not yet quoted). Sibling names provide some context for alternatives, so the guidance is clear but not exhaustive.

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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TDQS

A4.2/5.0
Disambiguation5/5

Every tool has a clearly distinct purpose: buying library models, creating training jobs, estimating word quality, checking statuses, handling payments, searching the library, and submitting feedback. The pay_ and get_ tools are clearly separated by their targets (training job vs. commercial license vs. library purchase), so an agent can unambiguously select the right one.

Naming Consistency5/5

All 12 tools follow a consistent verb_noun pattern in snake_case: buy_library_model, create_training_job, estimate_wake_word, get_*, pay_*, search_wake_word_library, send_job_feedback, settle_x402_payment. The naming is uniform and predictable, making it easy to infer tool behavior.

Tool Count5/5

12 tools is well within the ideal 3-15 range for a focused service. Each tool addresses a distinct stage of the wake-word workflow (search, estimate, create, pay, monitor, purchase, license, feedback), and none feel redundant or unnecessary for the server's stated purpose.

Completeness5/5

The tool surface covers the full lifecycle: discovery (search), validation (estimate), creation (create_training_job), payment (pay_training_job, settle_x402_payment), tracking (get_training_job), feedback (send_job_feedback), plus library purchase with its own payment and status, and commercial licensing. There are no obvious dead ends; every major operation an agent would need is present.

Resources