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request_reservation

Request a table at a restaurant. THE RESTAURANT IS NOT NOTIFIED YET: the request is held and a confirmation email is sent to the address you provide, and only when that person clicks the link does the restaurant receive it. Tell the user to check their inbox — the link expires in 24 hours. Use a real address belonging to the person you are acting for; the confirmation link is deliberately not returned to you. This is a request, not a confirmed booking: the restaurant confirms out of band.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName the table is under.
emailYesThe guest's own email — the confirmation link is sent here.
phoneNoOptional phone number for the restaurant to reach the guest.
messageNoOptional note (occasion, dietary needs, seating preference).
partySizeYesNumber of people (1–30).
place_slugYesRestaurant place slug from search_places.
requestedAtYesDesired date and time as an ISO instant. Must be in the future.

TDQS

A4.9/5.0
Behavior5/5

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

With no annotations, the description fully discloses behavioral traits: the request is held, a confirmation email is sent, the link expires in 24 hours, and the confirmation link is not returned to the agent. This transparency helps the agent understand side effects and constraints.

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 concise (3-4 sentences), front-loaded with the main purpose, and every sentence provides essential information. No wasted words.

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?

Given the complexity of 7 parameters (5 required), no output schema, and no annotations, the description is remarkably complete. It explains the overall flow, user-facing steps, constraints on email and time, and what to tell the user.

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?

Schema coverage is 100%, but the description adds meaningful context beyond the schema. It explicitly states that the email must be the guest's own, that phone is optional, and that requestedAt must be an ISO instant in the future. It also explains place_slug's origin from search_places. Slightly more detail on phone format could push it to 5.

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?

The description clearly states the tool requests a table at a restaurant, using a specific verb and resource. It distinguishes itself from siblings like 'create_booking' by emphasizing this is a request, not a confirmed booking.

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

Usage Guidelines5/5

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

The description provides explicit guidance: use when requesting a table, inform the user to check email, warn about link expiry, and stress using a real address. It also clarifies the restaurant is not notified until the link is clicked, setting correct expectations.

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
Disambiguation5/5

Each tool targets a distinct action and resource, such as booking, checking availability, listing events, or searching dishes. No two tools appear to overlap in purpose, and descriptions clearly differentiate them.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern (e.g., create_booking, get_availability, list_events, search_places). The prefixes (create, get, list, search, request, reserve, rsvp, submit) are uniformly applied, and there is no mixing of cases or styles.

Tool Count4/5

With 28 tools, the server covers a broad feature set for a neighborhood directory, including bookings, store, events, loyalty, menus, movies, and more. While slightly high, each tool serves a distinct purpose and is justifiable.

Completeness5/5

The tool surface appears complete for the domain: search, details, booking flows, store purchases, events, loyalty, reviews, blog, offers, profiles, forms, and FAQ are all covered. There are no obvious dead ends, and operations for CRUD or lifecycle are present where needed.

Resources