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Schema Authoring Guide

This guide documents conventions for authoring UCP JSON schemas: metadata fields, the registry pattern, schema variants, and versioning.

Schema Metadata Fields

UCP schemas use standard JSON Schema fields plus UCP-specific metadata:

Field Standard Purpose Required For
$schema JSON Schema Declares JSON Schema draft version (SHOULD use draft/2020-12) All schemas
$id JSON Schema Schema's canonical URI for $ref resolution All schemas
title JSON Schema Human-readable display name All schemas
description JSON Schema Schema purpose and usage All schemas
name UCP Reverse-domain identifier; doubles as registry key Capabilities, services, handlers
version UCP Entity version (YYYY-MM-DD format) Capabilities, services, payment handlers
id UCP Instance identifier for multiple configurations Payment handlers only

Why Self-Describing?

Capability schemas must be self-describing: when a platform fetches a schema, it should determine exactly what capability and version it represents without cross-referencing other documents. This matters because:

  1. Independent versioning: Capabilities may version independently. The schema must declare its version explicitly—you can't infer it from the URL.

  2. Validation: Validators can cross-check that a capability declaration's schema URL points to a schema whose embedded name/version match the declaration. Mismatches are authoring errors caught at build time.

  3. Developer experience: When reading a schema file, integrators immediately see what capability it defines without reverse-engineering the $id URL.

  4. Compact namespace: The name field provides a standardized reverse-domain identifier (e.g., dev.ucp.shopping.checkout) that's more compact and semantic than the full $id URL.

Why Both $id and name?

Field Role Format
$id JSON Schema primitive for $ref resolution and tooling URI (required by spec)
name Registry key and stable identifier Reverse-domain

$id must be a valid URI per JSON Schema spec. name is the key used in registries (capabilities, services, payment_handlers) and the wire protocol identifier used in capability negotiation—decoupled from schema hosting so that schema URLs can change as infrastructure evolves.

The reverse-domain format provides namespace governance: domain owners control their namespace (dev.ucp.*, com.shopify.*), avoiding collisions between UCP and vendor entities. This stable identity layer allows trust and resolution mechanisms to evolve independently—future versions could adopt verifiable credentials, content-addressed schemas, or other verification methods without breaking capability negotiation.

Why version Uses Dates?

The version field uses date-based versioning (YYYY-MM-DD) to enable:

  • Capability negotiation: Platforms request specific versions they support
  • Breaking change management: New versions get new dates; old versions remain valid and resolvable
  • Independent lifecycles: Extensions can release on their own schedule

Schema Categories

UCP schemas fall into six categories based on their role in the protocol.

Capability Schemas

Define negotiated capabilities that appear in ucp.capabilities{} registries.

  • Top-level fields: $schema, $id, title, description, name, version
  • Variants: platform_schema, business_schema, response_schema

Examples: checkout.json, fulfillment.json, discount.json, order.json

Service Schemas

Define transport bindings that appear in ucp.services{} registries. Each transport (REST, MCP, A2A, Embedded) is a separate entry.

  • Top-level fields: $schema, $id, title, description, name, version
  • Variants: platform_schema, business_schema
  • Transport requirements (additional beyond the common base):
    • Platform profile (platform_schema): REST/MCP/Embedded require schema (OpenAPI/OpenRPC URL). A2A has no additional requirements.
    • Business profile (business_schema): REST/MCP/A2A require endpoint (Agent Card URL for A2A). Embedded has no additional requirements.

Payment Handler Schemas

Define payment handler configurations in ucp.payment_handlers{} registries.

  • Top-level fields: $schema, $id, title, description, name, version, available_instruments
  • Variants: platform_schema, business_schema, response_schema
  • Instance id: Required to distinguish multiple configurations of the same handler
  • available_instruments: Optional. Array of supported instrument types with type-specific constraints (e.g., brands for credit cards). When absent, the handler places no restrictions — it supports the full set of instrument types defined by its handler schema.

Examples: com.google.pay, dev.shopify.shop_pay, dev.ucp.processor_tokenizer

→ See Payment Handler Guide for detailed guidance on handler structure, config/instrument/credential schemas, and the full specification template.

Component Schemas

Data structures embedded within capabilities but not independently negotiated. Do not appear in registries.

  • Top-level fields: $schema, $id, title, description
  • Omit: name, version (not independently versioned)

Examples:

  • schemas/shopping/payment.json — Payment configuration (part of checkout)

Type Schemas

Reusable definitions referenced by other schemas. Do not appear in registries.

  • Top-level fields: $schema, $id, title, description
  • Omit: name, version

Examples: types/buyer.json, types/line_item.json, types/postal_address.json

Meta Schemas

Define protocol structure rather than entity payloads.

  • Top-level fields: $schema, $id, title, description
  • Omit: name, version

Examples: ucp.json (entity base), capability.json, service.json, payment_handler.json

The Registry Pattern

UCP organizes capabilities, services, and handlers in registries—objects keyed by name rather than arrays of objects with name fields.

{
  "capabilities": {
    "dev.ucp.shopping.checkout": [{"version": "draft"}],
    "dev.ucp.shopping.fulfillment": [{"version": "draft"}]
  },
  "services": {
    "dev.ucp.shopping": [
      {"version": "draft", "transport": "rest"},
      {"version": "draft", "transport": "mcp"}
    ]
  },
  "payment_handlers": {
    "com.google.pay": [{"id": "gpay_1234", "version": "draft", "available_instruments": [{"type": "google_pay_card"}]}]
  }
}

Registry Contexts

The same registry structure appears in three contexts with different field requirements:

Context Location Required Fields
Platform Profile Advertised URI version, spec, schema
Business Profile /.well-known/ucp version; may add config
API Responses Checkout/order payloads version (+ id for handlers)

The Entity Pattern

All capabilities, services, and handlers extend a common entity base schema:

Field Type Description
version string Entity version (YYYY-MM-DD) — always required
spec URI Human-readable specification
schema URI JSON Schema URL
id string Instance identifier (handlers only)
config object Entity-specific configuration

Schema Variants

Each entity type defines three variants for different contexts:

platform_schema — Full declarations for discovery

{
  "dev.ucp.shopping.fulfillment": [{
    "version": "draft",
    "spec": "https://ucp.dev/draft/specification/fulfillment",
    "schema": "https://ucp.dev/draft/schemas/shopping/fulfillment.json",
    "config": {
      "supports_multi_group": true
    }
  }]
}

business_schema — Business-specific overrides

{
  "dev.ucp.shopping.fulfillment": [{
    "version": "draft",
    "config": {
      "allows_multi_destination": {"shipping": true}
    }
  }]
}

response_schema — Minimal references in API responses

{
  "ucp": {
    "capabilities": {
      "dev.ucp.shopping.fulfillment": [{"version": "draft"}]
    }
  }
}

Define all three in your schema's $defs:

"$defs": {
  "platform_schema": {
    "allOf": [{"$ref": "../capability.json#/$defs/platform_schema"}]
  },
  "business_schema": {
    "allOf": [{"$ref": "../capability.json#/$defs/business_schema"}]
  },
  "response_schema": {
    "allOf": [{"$ref": "../capability.json#/$defs/response_schema"}]
  }
}

String Vocabularies vs Enums

Prefer open string vocabularies with documented well-known values over closed enum arrays. Enums are a one-way door: adding a new value is a breaking change for strict validators, and removing one breaks existing producers.

// PREFER: open vocabulary — extensible without schema changes
"type": {
  "type": "string",
  "description": "Media type. Well-known values: `image`, `video`, `model_3d`."
}

// AVOID: closed enum — adding `audio` requires a schema version bump
"type": {
  "type": "string",
  "enum": ["image", "video", "model_3d"]
}

Use enum only for provably closed sets where new values would represent a fundamental protocol change (e.g., checkout.status: open | completed | expired). If the set might grow as new use cases emerge, use an open string with well-known values documented in the description.

Versioning Strategy

UCP Capabilities (dev.ucp.*)

UCP-authored capabilities version with protocol releases by default. Individual capabilities may version independently when needed.

Vendor Capabilities (com.{vendor}.*)

Capabilities outside dev.ucp.* version fully independently:

{
  "name": "com.shopify.loyalty",
  "version": "2025-09-01",
  "spec": "https://shopify.dev/ucp/loyalty",
  "schema": "https://shopify.dev/ucp/schemas/loyalty.json"
}

Vendor schemas follow the same self-describing requirements.

Extensibility and Forward Compatibility

When designing schemas, you must account for how older clients will validate newer payloads. In serialization formats like Protobuf, adding a new field or enum value is generally a safe, forward-compatible change.

Because modern code generators (e.g. Quicktype) translate JSON Schemas into strictly typed classes (e.g., Go structs or Java Enums), certain schema constraints will cause deserialization errors on older clients as the protocol evolves. Avoiding such changes helps minimize the need to up-version the protocol.

Open Enumerations

If a field's list of values might expand in the future (e.g., adding a "refunded" status or a new payment method), do not use enum.

Instead, define a standard string, document the requirement to ignore unknown values in the description, and use examples to convey current expected values to code generators. Avoid complex "Open Set" validation patterns (e.g., combining anyOf with const), as they frequently confuse client-side code generators and make schemas difficult to read.

"cancellation_reason": {
  "type": "string",
  "description": "Reason for order cancellation. Clients MUST tolerate and ignore unknown values.",
  "examples": ["customer_requested", "inventory_shortage", "fraud_suspected"]
}

Closed Enumerations

Use strict enum or const only for permanently fixed domains or when unknown values are inherently unsupported. Reserve them for cases where adding a new value inherently requires integrators to update their code (e.g., protocol versions, strict type discriminators, or days of the week).

"status": {
  "type": "string",
  "enum": ["open", "completed", "expired"],
  "description": "Lifecycle state. This domain is strictly bounded; unknown states represent a breakdown in the state machine and MUST be rejected."
}

Open Objects (additionalProperties)

Marking an object as closed preemptively prevents any future non-breaking additions to the schema. In a distributed protocol, what would otherwise be a backward-compatible field addition (e.g., adding a "gift_message" field to an order) becomes a breaking change for any client validating against a closed schema.

By default, JSON Schema is open and ignores unknown properties. Authors should leave this keyword omitted except in rare circumstances: polymorphic discriminators (where strictness prevents oneOf validation ambiguity), security-critical payloads (where unknown fields may indicate tampering), or protocol envelopes (where strictness is useful to catch typos in core metadata like the ucp block).

Anti-Pattern (Prevents adding new fields without a reversion):

"totals": {
  "type": "object",
  "properties": {
    "subtotal": {"type": "integer"}
  },
  "additionalProperties": false
}

Property-Count Constraints (minProperties / maxProperties)

By default, UCP schemas do not set minProperties or maxProperties on object fields:

  • maxProperties — Limits are deferred to implementers. The protocol does not define caps because any specific limit requires judgment calls that inevitably run into exceptions. Implementers are encouraged to impose their own constraints and surface clear error feedback to support debugging and good behavior.
  • minProperties — Empty objects ({}) are well-formed and harmless. Implementers should accept and process them as a no-op.

Complete Example: Capability Schema

A capability schema defines both payload structure and declaration variants:

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://ucp.dev/draft/schemas/shopping/checkout.json",
  "name": "dev.ucp.shopping.checkout",
  "version": "draft",
  "title": "Checkout",
  "description": "Base checkout schema. Extensions compose via allOf.",

  "$defs": {
    "platform_schema": {
      "allOf": [{"$ref": "../capability.json#/$defs/platform_schema"}]
    },
    "business_schema": {
      "allOf": [{"$ref": "../capability.json#/$defs/business_schema"}]
    },
    "response_schema": {
      "allOf": [{"$ref": "../capability.json#/$defs/response_schema"}]
    }
  },

  "type": "object",
  "required": ["ucp", "id", "line_items", "status", "currency", "totals", "links"],
  "properties": {
    "ucp": {"$ref": "../ucp.json#/$defs/response_checkout_schema"},
    "id": {"type": "string", "description": "Checkout identifier"},
    "line_items": {"type": "array", "items": {"$ref": "types/line_item.json"}},
    "status": {"type": "string", "enum": ["open", "completed", "expired"]},
    "currency": {"type": "string", "pattern": "^[A-Z]{3}$"},
    "totals": {"$ref": "types/totals.json"},
    "links": {"$ref": "types/links.json"}
  }
}

Key points:

  • Top-level name and version make the schema self-describing
  • $defs variants enable validation in different contexts
  • Payload properties define the actual checkout response structure