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Request a reservation

request_reservation

Create an anonymous reservation REQUEST (date-time, party size, note) for a listed restaurant and get a one-time confirmation link. PUBLIC tool, no auth. Send the guest to confirm_url: they enter their name and email or phone there and submit the request themselves — never through this tool. The restaurant then confirms or declines; the guest receives the confirmation code by email/SMS. A reservation is a REQUEST that the restaurant confirms; no per-slot capacity cap is configured, so busy_count is informational only. Never tell the guest a table is guaranteed or "available" — say the request will be sent and the restaurant will confirm.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoOccasion, seating preference, accessibility needs. Do not put the guest's name, phone or email here.
party_sizeYes
restaurantYes
reserved_atYesISO date-time; at least 30 minutes ahead, at most 90 days.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations declare the write/non-idempotent/non-destructive profile, and the description adds substantial context: no-auth public access, one-time confirmation link, restaurant confirms or declines, guest notified by email/SMS, and that busy_count is informational with no capacity cap. The only gap is any notion of error/expiry behavior for the link itself.

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?

Front-loads what is created and what is returned, then layers the crucial guest-flow safety rules. It is dense and slightly repetitive in restating twice that a reservation is a request the restaurant confirms, but nearly every sentence carries operational value.

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?

For a 4-param mutation tool with no output schema, the description covers the return artifact (confirm_url), the downstream lifecycle (restaurant decision, SMS/email code) and the guest-handoff contract. An agent has everything needed to call it and to instruct the guest correctly.

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 50%: note and reserved_at carry descriptions, while restaurant and party_size rely on constraints only. The description restates the three inputs in parentheses but adds no format or semantic detail beyond the schema, so it neither compensates for nor worsens the coverage gap.

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+resource (create an anonymous reservation REQUEST) plus scope (for a listed restaurant) and the return (one-time confirmation link). It is clearly separable from siblings like get_reservation_slots, reservation_summary and cancel_reservation.

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?

Explicitly says the tool is public/no-auth, that the guest must be sent to confirm_url to submit their own name and contact details, and that those details must never be passed through this tool. It also names the exclusion to avoid ('never tell the guest a table is guaranteed'), leaving nothing to inference.

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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