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create_reservation

Submit a booking or appointment request for a published business facade. Creates a PENDING reservation; the merchant confirms in Dashboard. Not a guaranteed instant booking. HTTP equivalent: POST /api/v1/b/{handle}/reservations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesYYYY-MM-DD
modeNotable for dine-in; appointment for generic services
nameYesGuest name
noteNoOptional note for the merchant
timeYesHH:mm
emailNoOptional guest email
phoneYesGuest phone (E.164 or local)
tableNoOptional table code from facade.tables
handleYesPublic facade handle (AgentID)
serviceNoOptional service label
partySizeYesParty size (1–40)

Schema Changelog

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

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

The annotations already signal a non-read-only mutation that is not idempotent, and the description adds valuable behavioral context: the reservation starts as PENDING, the merchant confirms in Dashboard, and it is not an instant booking. This goes beyond the structured annotations without contradicting them.

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 short, front-loaded, and every sentence earns its place: purpose, outcome state, non-guarantee, and HTTP equivalent. No filler or repetition.

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

Completeness3/5

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

The description explains purpose and behavioral outcome, but with no output schema and 11 parameters it omits the response shape and any preconditions, such as checking availability before reserving. It is adequate but not fully complete for a create-style operation.

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 coverage is 100%, so all 11 parameters are already documented in the input schema. The description adds no new parameter-level meaning; the HTTP path with {handle} is essentially a restatement of the handle parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the operation: submit a booking or appointment request for a published business facade, creating a PENDING reservation. It does not explicitly contrast itself with sibling tools like create_order, so sibling differentiation is only implicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The intended usage is implied: use this tool to request a reservation or appointment. However, there is no explicit guidance about when to prefer this over check_availability or create_order, and no clear when-not-to-use criteria beyond 'not a guaranteed instant booking'.

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.