Luxembourg Payments (Stripe — cards / Apple Pay)
Server Details
Luxembourg payments for AI agents — cards / Apple Pay via Stripe. Never holds funds.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 4.4/5 across 6 of 6 tools scored.
All tools have clearly distinct purposes: payment link creation, subscription link creation, status queries for both, cancellation, and refund. No overlap in functionality.
Tool names consistently follow a verb_noun pattern using snake_case (e.g., create_payment_link, query_subscription). The naming is uniform and predictable.
With 6 tools, the set is well-scoped for a payments/subscriptions service. Each tool serves a necessary function without unnecessary bloat or missing essentials.
Core operations are covered: create payment/subscription links, query status, refund, and cancel. Lacks an update subscription tool (e.g., change plan) but overall coverage is strong for the intended domain.
Available Tools
6 toolscancel_subscriptionADestructiveIdempotentInspect
Cancel a subscription. By default the subscription stays active until the end of the current paid period (fair to the buyer); pass immediate=true to cancel right now.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | session_id (cs_...) or subscription_id (sub_...) | |
| immediate | No | true = cancel immediately. Default false = cancel at period end. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate destructive=true. The description adds critical nuance: default cancellation is at period end, immediate=true cancels now. This goes beyond annotations, but doesn't cover side effects like refunds or confirmations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, each essential. Front-loaded with cancel action, then behavioral nuance. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema and no description of return value. For a destructive tool, knowing the response (e.g., canceled subscription object) would be helpful. Otherwise adequate for a simple tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%. The description restates the 'immediate' parameter's default and mentions the 'id' parameter format, but adds no new meaning beyond the schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Cancel a subscription' with a specific verb and resource. It distinguishes between default and immediate cancellation, which differentiates it from sibling tools like query_payment_status or refund_payment.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains when to use the immediate flag and why the default is fair to the buyer. It provides clear context but does not explicitly mention when not to use the tool, though siblings don't overlap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_payment_linkAInspect
Create a payment link in EUR for Luxembourg via Stripe (Checkout Sessions). Buyer pays with cards, Apple Pay / Google Pay — whatever is enabled on the Stripe account. Returns a hosted checkout URL the buyer opens to pay — payment completes automatically, no confirm step. Bring your own credentials via HTTP header (x-stripe-secret-key; free test credentials from dashboard.stripe.com never move real money). Money always flows buyer→Stripe→merchant; this service never touches funds. Optional: issue_invoice=true auto-creates a VAT-ready invoice (PDF + hosted page, emailed to the buyer) after payment; collect_tax_id=true collects the buyer's business tax ID (e.g. EU VAT number) at checkout and puts it on the invoice.
| Name | Required | Description | Default |
|---|---|---|---|
| amount_eur | Yes | Amount in EUR (decimals allowed), e.g. 5.0. Minimum 0.5. | |
| description | Yes | What this payment is for (shown to the buyer, ≤200 chars) | |
| success_url | No | Optional https URL to send the buyer to after payment. | |
| issue_invoice | No | true = Stripe automatically creates and emails a post-payment invoice (PDF + hosted invoice page). Ideal for B2B / VAT bookkeeping. Note: Stripe charges a small Invoicing fee per invoice issued. | |
| collect_tax_id | No | true = ask the buyer for their business tax ID (e.g. EU VAT number) on the checkout page; it appears on the invoice. Combine with issue_invoice for a VAT-compliant receipt. | |
| customer_email | No | Optional buyer email. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description goes beyond annotations by detailing the payment flow: payment completes automatically, no confirm step, money flows buyer to Stripe to merchant, and the service never touches funds. It also explains the optional invoice and tax ID behavior, providing comprehensive behavioral disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with the main purpose and is information-dense, but it is moderately lengthy. Each sentence adds value, though minor tightening could improve conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 6 parameters (2 required) and no output schema, the description is highly complete. It explains the payment flow, optional features, credential handling, and return value (hosted checkout URL), leaving no significant gaps for an AI agent to use the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the schema already documents all parameters. The description adds extra value by explaining fees for invoice issuance, combining tax ID with invoice for VAT compliance, and noting that credentials go via HTTP header. This exceeds the baseline 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool creates a payment link in EUR for Luxembourg via Stripe Checkout Sessions, specifying the currency, region, and underlying service. It distinguishes from sibling tools like create_subscription_link and refund_payment by focusing on one-time payments.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains when to use the tool (to create payment links) and provides context for optional features like issuing invoices and collecting tax IDs. However, it does not explicitly state when not to use it or directly compare to sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_subscription_linkAInspect
Create a recurring subscription checkout link (monthly/yearly/weekly billing) via Stripe. The buyer opens the URL, enters their card once, and is then charged automatically every period until canceled. Amount is per billing period in the local currency major unit. Respects the same owner policy guardrails as payments (the per-period amount is checked before anything is created).
| Name | Required | Description | Default |
|---|---|---|---|
| interval | No | Billing period. Default "month". | |
| amount_eur | Yes | Amount charged per billing period (local currency major unit) | |
| description | Yes | What the subscription is for (shown to the buyer, <=200 chars) | |
| success_url | No | Optional https URL to send the buyer to after subscribing. | |
| customer_email | No | Optional buyer email (pre-filled at checkout; receipt goes there). |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
While annotations indicate readOnlyHint=false and destructiveHint=false, the description adds valuable behavioral details: the per-period amount is checked before creation, the buyer is charged automatically, and the checkout flow is described. No contradictions with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three sentences, starting with the primary action, then buyer experience, then policy constraints. No unnecessary words; every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 5 parameters, no output schema, and annotations, the description provides a good mental model of the tool's behavior: link creation, checkout flow, recurring charges, and ownership checks. It could mention the return value (the URL) explicitly, but it's implied.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
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 value by clarifying that amount_eur is per billing period in the local currency major unit, and that success_url and customer_email are optional. This aids parameter understanding beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: creating a recurring subscription checkout link via Stripe. It uses a specific verb ('create') and resource ('subscription checkout link'), and distinguishes from sibling tools like 'create_payment_link' (one-time) and 'cancel_subscription' (cancellation).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains the use case: recurring billing with automatic charges. It mentions owner policy guardrails but does not explicitly state when not to use it or list alternative tools. However, the context is clear enough for an agent to infer appropriate usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
query_payment_statusARead-onlyInspect
Check whether a Luxembourg payment (created by create_payment_link) has been paid. Queries Stripe directly — pull-based, no webhook needed. paid=true when status is PAID. If the payment was created with issue_invoice=true, the result also includes invoice_url and invoice_pdf once paid.
| Name | Required | Description | Default |
|---|---|---|---|
| session_id | Yes | The session_id returned by create_payment_link |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readonly and open world behavior. The description adds specific details: the paid field logic (true when status PAID), and conditional invoice fields when issue_invoice was true. No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences with minimal waste: first states purpose, second explains pull-based nature, third details conditional output. Information is front-loaded and structured logically.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one parameter and no output schema, the description fully covers purpose, usage method, and return field semantics (including conditional fields). Complete for an AI agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a clear description for session_id. The description reinforces that the session_id comes from create_payment_link, adding useful context beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool checks if a Luxembourg payment has been paid, specifying it's for payments from create_payment_link. This distinguishes it from siblings like refund_payment or query_subscription, making the purpose unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly notes it's pull-based and requires no webhook, giving clear usage context. However, it lacks explicit 'when not to use' guidance, though sibling tool names provide some differentiation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
query_subscriptionARead-onlyInspect
Check a subscription created by create_subscription_link. Accepts the session_id (cs_...) or subscription_id (sub_...). active=true when the subscription is ACTIVE or TRIALING; NOT_SUBSCRIBED_YET means the buyer has not completed checkout.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | session_id (cs_...) returned by create_subscription_link, or subscription_id (sub_...) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true. The description adds behavioral details about possible statuses (active, NOT_SUBSCRIBED_YET) and the specific origin of subscriptions. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences front-load the purpose and parameter format, then explain status interpretation. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given a single parameter, no output schema, and annotations present, the description fully covers what the tool does, what it accepts, and how to interpret key output fields.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% (one parameter described). The description repeats the schema info with slight expansion (prefixes cs_..., sub_...), but does not add substantial new meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Check a subscription created by create_subscription_link', specifying the verb 'check' and resource 'subscription'. It differentiates from sibling tools like cancel_subscription, create_subscription_link, and query_payment_status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains accepted parameters (session_id or subscription_id) and the meaning of response fields. While it does not explicitly state when to use vs. alternatives, the contrast with siblings like create_subscription_link is implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
refund_paymentADestructiveInspect
Refund a paid payment (created by create_payment_link). Full refund by default; pass amount for a partial refund where supported. Refunds respect the same owner policy guardrails (x-agentpay-max-amount) as payments — the amount is checked before anything is sent to the gateway.
| Name | Required | Description | Default |
|---|---|---|---|
| amount | No | Optional partial-refund amount in the local currency major unit. Omit for a full refund. | |
| session_id | Yes | The session_id of the paid payment (same id used by query_payment_status) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses destructive nature (refund) and pre-check of amount against policy before sending to gateway, adding value beyond annotations which indicate destructiveHint=true.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three concise sentences, front-loaded with primary action, no wasted words, and each sentence adds necessary information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Adequately covers tool behavior and constraints, though could optionally mention whether a response is returned upon successful refund.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Adds context to schema parameters by explaining full refund default and partial refund option, complementing the 100% schema coverage with meaningful usage guidance.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool refunds a paid payment, specifically those created by create_payment_link, distinguishing it from sibling tools like create_payment_link or query_payment_status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides explicit guidance on when to use full vs partial refund and mentions policy guardrails, but does not explicitly compare to alternative tools for similar actions.
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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