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chrischall

opentable-mcp

by chrischall

opentable_find_slots

Read-only

Find available reservation slots at OpenTable restaurants by date, time, and party size, returning tokens for quick booking.

Instructions

List available reservation slots at a specific OpenTable restaurant for a date + party size. Returns each slot's reservation_token (use it with opentable_book — tokens expire quickly, book promptly). Slots may be attributes=['default'|'bar'|'highTop'|'outdoor'] and type=Standard|Experience|POP. You can pass a slot's reservation_token + slot_hash straight to opentable_book without a separate opentable_get_restaurant call — book auto-resolves the dining area. (OpenTable's availability response carries only the seating category, not the numeric dining-area id, so that id is resolved at book time from the booking-details page.) If this errors with "operation ... not yet observed on this tab", open any OpenTable restaurant page in your browser once (the graphql bridge needs to see the page's own availability query fire first), then retry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesYYYY-MM-DD
timeYesHH:MM (24h) — anchor time; slots come back relative to this
party_sizeYes
restaurant_idYes
database_regionNoOpenTable's sharded-database region for the restaurant. Defaults to 'NA' (North America). Pass the venue's region (e.g. for UK/EU/APAC restaurants) when booking or cancelling outside North America — slot-lock, availability, and cancel route to the wrong database shard, or fail opaquely, when this is wrong. LIMITATION: not auto-derived from restaurant data (OpenTable's availability/booking responses don't surface the shard id), so non-NA bookings must set it explicitly.
Behavior5/5

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

Annotations already declare readOnlyHint=true, indicating safety. The description adds significant behavioral context: token expiration, direct use of slot_hash in booking, the limitation regarding database_region, and the browser tab workaround. This goes well beyond the annotation.

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?

The description is packed with useful information but is slightly lengthy. It front-loads the core purpose and is well-structured with parenthetical clarifications. Could be trimmed slightly without losing key details.

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?

Given the complexity (5 parameters, no output schema), the description covers behavioral and error-handling aspects well. However, it does not fully specify the response structure beyond mentioning reservation_token, attributes, and type. More detail on the return format would improve completeness.

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?

The description adds meaning for the database_region parameter, explaining its necessity and limitation. For other parameters, the schema already provides descriptions, but the description clarifies that 'time' is an anchor time and slots are relative to it, adding value.

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 lists available reservation slots for a specific restaurant, date, and party size. It differentiates from siblings by explicitly mentioning the returned reservation_token and its use with opentable_book, as well as slot attributes and types.

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?

The description provides explicit guidance on when to use the tool (before booking), mentions token expiration, and gives a workaround for a specific error. However, it does not explicitly contrast with alternatives like opentable_book_preview or state when not to use it.

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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