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Little Hotelier MCP Server and API by Cotlet

Create booking in Little Hotelier

little_hotelier_create_booking
Read-onlyIdempotent

Create booking in the user's own Little Hotelier account from ChatGPT, Claude or any AI agent. Returns how to do it in Little Hotelier step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Little Hotelier Cloud Browser. Little Hotelier's official API: Little Hotelier has no API for its own customers (checked 11 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": "little_hotelier_create_booking"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false; the description reinforces this with 'opens nothing by itself', so the agent knows there is no side effect. It also adds genuinely useful context beyond the annotations — what the return value contains (screens, buttons, fields) and why an API path is unavailable.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core guidance is front-loaded, but the middle sentence is an overlong run-on mixing the return value, the no-side-effect caveat, and the handoff to browser tools. The 'no API' aside with an oddly future-dated check ('11 Oct 2026') is marginally relevant noise.

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 covers the essentials: it says what comes back, that nothing is executed, and which tools finish the job. Only the lack of any hint about what inputs the returned instructions expect keeps it from 5.

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 tool takes zero parameters, so the schema carries no semantic burden and the baseline is 4. However, the description gives no hint about what booking details the instruction output needs as input, and the mismatch between a 'create booking' name and an empty schema could confuse an agent about what to supply.

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 ('Create booking in the user's own Little Hotelier account') but immediately clarifies that the tool itself creates nothing — it returns step-by-step instructions. That clarification is essential and well placed, though the name/behavior tension costs a point versus a fully unambiguous statement.

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 tells the agent what to do next: 'do it with the cotlet_browser_* tools in the user's Little Hotelier Cloud Browser', which names the alternative path concretely. It does not address when not to use it or how it relates to data-reading siblings like little_hotelier_list_bookings, so it stops short of 5.

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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