Skip to main content
Glama
chrischall

easytable-mcp

by chrischall

easytable_create_booking

Create a restaurant reservation by submitting guest details and a Turnstile token from an open booking page. Use confirm:true to book, or omit for a dry-run preview.

Instructions

Create a restaurant booking. Reads the Cloudflare Turnstile token from your signed-in booking-widget tab (via the bridge) and submits it with the reservation — so a book.easytable.com/book/?id= tab must be open and loaded. Without confirm: true it returns a dry-run preview and makes NO network call; with confirm: true it books.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesRestaurant id — the `id` in a book.easytable.com/book/?id=<id> link.
dateYesBooking date, ISO YYYY-MM-DD (from easytable_list_dates).
langNoWidget language code (en, se, da, …). Defaults to en.en
nameYesGuest name on the booking.
timeYesTime slot HH:MM (from easytable_list_times).
typeYesBooking area/type id from easytable_list_types.
emailNoGuest email.
eventNoOptional event id.
mobileYesGuest mobile in E.164 (e.g. +46701234567).
commentNoFree-text note / special requests.
companyNoOptional company name.
confirmNoMust be true to proceed. Without this, the tool returns a preview.
personsYesParty size.
Behavior5/5

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

The description goes beyond annotations by detailing the exact behavioral difference between confirm false (dry-run, no network call) and confirm true (actual booking). It also discloses the prerequisite of the booking-widget tab, adding significant transparency about side effects and required state.

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 extremely concise (3 sentences) with front-loaded key information: purpose, prerequisite, and confirm behavior. Every sentence adds value without redundancy.

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 the key workflow and prerequisites well, but lacks details on return values and error handling. Since there is no output schema, more information on what the tool returns (especially the preview format) would be helpful. The description is adequate but leaves some gaps.

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?

The input schema already provides detailed descriptions for all 13 parameters (100% coverage). The tool description adds high-level context but does not enhance individual parameter meaning. A score of 3 is appropriate given the schema already handles this dimension.

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's purpose with a specific verb ('Create a restaurant booking') and distinguishes it from siblings by detailing the workflow (Turnstile token, dry-run vs confirm). This leaves no ambiguity about what the tool does.

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 context about prerequisites (open tab with booking widget) and explains when to use confirm:true vs confirm:false. While it does not explicitly compare to sibling tools, the guidance is clear enough for an AI agent to decide when to invoke this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/chrischall/easytable-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server