Skip to main content
Glama
SATISHUD

Atithi Driver Booking MCP Server

by SATISHUD

create_booking

Create a guest ride booking with pickup and drop locations, passenger count, and fare estimate, returning a booking ID for driver search.

Instructions

Create a new guest ride booking with passenger count and estimated fare. Returns booking_id. Then call get_next_driver() to begin driver search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hotel_idYesHotel ID making the booking
guest_nameYesGuest full name
booking_typeYesType of ride
estimated_fareNoOptional confirmed estimated fare in INR
passenger_countNoNumber of passengers (default: 1)
pickup_datetimeNoOptional: Pickup date and time in format 'YYYY-MM-DD HH:MM'. Defaults to current real-time timestamp if omitted.
drop_location_idYesDrop-off location ID (or 'HOTEL')
pickup_location_idYesPickup location ID (or 'HOTEL')
required_vehicle_typeNoOptional required vehicle type
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It communicates that the tool creates a booking, returns a booking_id, and that driver search is a separate step, but it does not disclose side effects, prerequisites, or error conditions expected of a mutating operation.

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 two concise sentences: the first states the action and key parameters, the second gives a clear follow-up. No wasted words and the core purpose is front-loaded.

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?

Given the richly detailed schema and the description covering the essential return value and next workflow step, the tool is reasonably well understood. However, the absence of annotations and minimal discussion of side effects leaves some contextual gaps for an AI agent.

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 description coverage is 100%, so the schema already fully documents all parameters. The description mentions only passenger_count and estimated_fare, which are already detailed in the schema, adding no additional semantic value beyond what the structured data provides.

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 uses a specific verb 'Create' with the resource 'guest ride booking', clearly stating the core function. It also mentions key parameters and the return value, and the follow-up instruction 'Then call get_next_driver()' distinguishes it from sibling tools like complete_booking and cancel_booking.

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?

Provides an explicit next step after creation, indicating when this tool should be used in the workflow. However, it does not mention any alternative tools or conditions under which this tool should not be used, focusing only on the sequence after creation.

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/SATISHUD/atithi-driver-booking-mcp'

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