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create_order

Submit a dine-in or takeaway order from a published restaurant facade menu. Creates a PENDING order; kitchen confirms in Dashboard. Restaurant facades only; menu item names must match facade.menu. HTTP equivalent: POST /api/v1/b/{handle}/orders.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoOptional note for the kitchen
itemsYesMenu lines — names must match published facade menu
tableYesTable code from facade.tables, or TAKEAWAY / PICKUP for off-premise
handleYesPublic facade handle (AgentID)
guestNameNoGuest name (required for takeaway/pickup)
guestPhoneNoGuest phone (required for takeaway/pickup)
fulfillmentModeNoDefaults to DINE_IN

Schema Changelog

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

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

Adds meaningful context beyond annotations: the order is initially PENDING and kitchen confirmation happens in Dashboard, and menu item names must match facade.menu. Annotations already communicate mutation and non-idempotency; the description enriches that with operational detail.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Compact and front-loaded, with the main action in the first sentence. The HTTP-equivalent clause is useful but slightly redundant; otherwise each sentence earns its place.

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

Completeness4/5

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

Given complete schema coverage and the annotations, the description supplies the key behavioral facts an agent needs: pending status, kitchen confirmation, and restaurant-facade-only eligibility. It does not describe the response shape, but there is no output schema and the omission is not critical for correct invocation.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents all parameters. The description reinforces the items naming constraint but does not add substantial new parameter-specific meaning beyond what the schema provides.

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?

States a specific verb (Submit) and resource (order) with a clear source ('published restaurant facade menu'). The 'Restaurant facades only' qualifier and 'order' resource distinguish it from siblings like create_reservation.

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?

Gives clear usage context: submitting dine-in/takeaway orders against a published restaurant facade, with an explicit exclusion ('Restaurant facades only'). It does not explicitly name alternative tools or when-not conditions beyond facade type, so it falls just short of a 5.

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
Disambiguation4/5

Most tools are clearly distinct: search, verify, get full profile, get official registry, get merged profile, and get business facade each have a specific role. The only borderline overlap is between get_registry and get_merged_profile, but the descriptions explicitly position one as the preferred enriched read, reducing confusion.

Naming Consistency5/5

All tool names follow a clean verb_noun snake_case pattern with get_, search_, and verify_ as the leading verbs. There are no mixed naming conventions or vague verbs, making the set highly predictable.

Tool Count5/5

Seven tools is well-scoped for a trust/registry lookup service. Each tool serves a clear step in the discovery-to-verification flow without redundancy or unnecessary bloat.

Completeness4/5

The surface covers the main lifecycle: search registry, search agents, verify existence, fetch agent details, fetch business facade, fetch raw registry, and fetch a merged profile. A minor gap is the lack of dedicated provenance-specific endpoints beyond get_registry, but this is largely addressable via existing tools.