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Create ticket checkout link

create_ticket_checkout

Create a secure Stripe-hosted payment link for event tickets. Returns a checkout URL — give it to the human to complete payment themselves; tickets with QR codes are emailed after payment. Get ticket_type_id values from get_event. Always confirm the exact tickets and total with the human before calling this.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesTicket selections
buyer_nameNoBuyer's name (optional)
event_slugYesEvent slug
buyer_emailYesEmail to deliver tickets to (required — ask the human)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
eventNo
totalNo
currencyNo
order_idNo
checkout_urlNo
instructionsNo

Schema Changelog

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

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "checkout_url": {
      +      "type": "string"
      +    },
      +    "currency": {
      +      "type": "string"
      +    },
      +    "event": {
      +      "type": "string"
      +    },
      +    "instructions": {
      +      "type": "string"
      +    },
      +    "order_id": {
      +      "type": "string"
      +    },
      +    "total": {
      +      "type": "number"
      +    }
      +  },
      +  "type": "object"
      +}
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Adds context beyond annotations: describes the payment flow (returns URL, tickets emailed after payment), which is consistent with the readOnlyHint=false and destructiveHint=false annotations.

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?

Three concise sentences with no waste, front-loaded with the core purpose.

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

Completeness5/5

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

Covers all aspects: input, output (checkout URL), side effects (email after payment), and prerequisites (get_event), making the tool self-contained.

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?

With 100% schema coverage, the description adds value by clarifying the buyer_email is required and should be asked from the human, and that ticket_type_id comes from get_event.

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?

Clearly states the tool creates a Stripe-hosted payment link for event tickets, distinguishing it from sibling tools like get_event which are read-only.

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?

Explicitly advises confirming ticket details with the human before calling and references get_event for ticket_type_id, but does not explicitly state when not to use.

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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