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OpenTable MCP Server and API by Cotlet

List your reservations in OpenTable

opentable_list_your_reservations
Read-onlyIdempotent

List your reservations in the user's own OpenTable account from ChatGPT, Claude or any AI agent. Returns how to do it in OpenTable step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's OpenTable Cloud Browser. OpenTable's official API: OpenTable has APIs only for approved partners (checked 27 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "opentable_list_your_reservations"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description goes further by stating it 'opens nothing by itself' and that it returns screen/button/field-level instructions, plus why browser automation is required (API limited to approved partners) — meaningful context beyond the annotations.

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?

Two sentences, front-loaded with the action and immediately followed by what is returned and how to proceed. The trailing API-partner note is somewhat tangential and the 'checked 27 Oct 2026' detail reads oddly, but it justifies the browser handoff.

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?

With no parameters and no output schema, the description carries the burden of explaining the return value, which it does ('how to do it step by step (screens, buttons, fields)'). It is close to complete; only the relationship to the sibling reservation-reading tool is unstated.

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 tool takes zero parameters, so the schema has nothing to explain and baseline is 4. The description correctly implies no inputs are needed.

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?

States a specific verb and resource ('List your reservations in the user's own OpenTable account') and scopes it to the user's own account, which separates it from the restaurant-side sibling opentable_read_the_reservation_book. The caveat that it actually returns step-by-step instructions rather than the reservation data itself is disclosed, though an agent skimming the name could still be surprised.

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?

Explicitly describes the workflow: this tool yields the how-to, then 'do it with the cotlet_browser_* tools in the user's OpenTable Cloud Browser'. It does not explicitly exclude or compare against opentable_read_the_reservation_book or opentable_check_availability, so a small routing ambiguity remains.

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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