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get_quote

Read-only

Calculate the exact price for a private chauffeur transfer. Returns prices for all available vehicles AND a quote_id valid for 15 minutes. Always call this before book_ride and pass the quote_id to book_ride — it locks the price and prevents drift. IMPORTANT: pickup_date must be in dd/mm/yyyy format.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
channelNoCaller channel identifier for observability: 'chatbot', 'whatsapp', 'claude-desktop', 'email-agent', or your agent name. Defaults to 'mcp-direct'.
form_typeNoBooking typeone_way
num_hoursNoNumber of hours (required for hourly, min 3)
pickup_dateYesPickup date in dd/mm/yyyy format (e.g. '27/03/2026')
pickup_timeYesPickup time in HH:MM format (e.g. '14:00')
step_addressNoIntermediate stop address (optional)
pickup_addressYesFull pickup address (e.g. 'CDG Terminal 2E' or street address)
dropoff_addressYesFull drop-off address

TDQS

A4.7/5.0
Behavior5/5

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

Annotations declare readOnlyHint=true, so the agent already knows it's a safe read. The description adds critical behavioral context: quote_id is valid for 15 minutes, the price is locked, and pickup_date must be dd/mm/yyyy. No contradiction with annotations.

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?

Three sentences: purpose+returns, usage workflow, format warning. Each sentence earns its place, front-loads the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite no output schema, the description tells the agent exactly what is returned (prices for all vehicles, quote_id) and how to use it downstream. With an 8-parameter schema fully covered, this is complete for successful invocation.

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 baseline is 3. The description only repeats the dd/mm/yyyy format already in the schema, adding no new parameter semantics beyond that.

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 the verb 'Calculate' with a specific resource 'exact price for a private chauffeur transfer' and states it returns prices for all available vehicles and a quote_id. It clearly differentiates from book_ride (which consumes the quote_id) and get_vehicles (which lists vehicles).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states 'Always call this before book_ride and pass the quote_id to book_ride', defining the exact pre-condition and workflow. It also explains the benefit (locks price, prevents drift), giving the agent clear guidance on when to invoke.

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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TDQS

A4.5/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: booking a ride, booking a meet & greet, getting a quote, listing vehicles, resolving flights/trains/locations, sending contact, etc. No two tools overlap in purpose or could be easily confused.

Naming Consistency5/5

All tool names follow a consistent lowercase snake_case verb_noun pattern, with verbs like 'book_', 'get_', 'resolve_', and 'send_' clearly indicating the action. There are no exceptions or mixed conventions.

Tool Count5/5

10 tools is well within the ideal 3-15 range and perfectly scoped for a chauffeur booking service. Each tool covers a necessary part of the workflow (quote, booking, location/flight/train resolution, vehicle info, policy, contact).

Completeness4/5

The core booking flow is well covered: resolve location/flight/train → get quote → book ride or meet & greet → send driver contact. However, there is no tool to cancel, update, or check the status of a booking, which requires external (Zeplan) access. This is a minor gap but workable for typical agent flows.

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