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Prepare a booking

prepare_booking
Read-only

Assemble a real tutoring booking for a parent/student to finish in one tap. Give the tutor id, how long, who it is for, and optionally a preferred time. Returns a price estimate, a booking brief, and the link the human opens to confirm and pay. Creates nothing and charges nothing itself.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoA note to pass to the tutor about what the student needs.
forWhomNoWho the lesson is for, e.g. "my 15-year-old daughter".
subjectNoSubject for the lesson, e.g. "A-level Chemistry".
tutorUserIdYesThe tutor's user id from a search_tutors result, or their profile handle from the profile URL. Either form works.
durationMinutesNoLesson length in minutes (30-180, default 60).
preferredStartTimeNoOptional ISO 8601 start time, e.g. "2026-07-20T16:00:00Z". Must be in the future.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description reinforces this by explicitly stating 'Creates nothing and charges nothing itself.' It also discloses the return payload (price estimate, booking brief, link) which is beyond the annotations. This adds useful behavioral context without contradiction.

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?

Two sentences with no fluff. The purpose is front-loaded, and the inputs and outputs are concisely enumerated. Every sentence earns its place; this is exemplary structure.

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?

Despite lacking an output schema, the description fully explains what the tool returns (price estimate, booking brief, link) and the flow (human confirms and pays). It covers the key operational aspects, though it doesn't mention potential error cases or prerequisites beyond the required parameter. Given the annotations and schema richness, this is nearly complete.

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 coverage is 100%, so the schema already documents all parameters. The description adds minimal semantic value, only paraphrasing a few inputs ('tutor id, how long, who it is for, optionally a preferred time'). It does not go beyond the schema's descriptions, so the baseline of 3 is appropriate.

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 opens with a specific verb and resource: 'Assemble a real tutoring booking,' and further defines its scope by clarifying it returns a price estimate, booking brief, and confirmation link. It clearly distinguishes from siblings (search_tutors, get_tutor) by focusing on the booking assembly step.

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 implies when to use it: after selecting a tutor, to prepare a booking for human confirmation. It provides context ('Assemble a real tutoring booking... to finish in one tap') but does not explicitly name alternatives or exclusions. Since siblings are all information-gathering tools, the usage context is clear enough.

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

A4.2/5.0
Disambiguation5/5

Each tool addresses a distinct task: info, search, profile detail, reviews, subjects, self-serve booking prep, and human-assisted requests. Even the two booking-related tools are clearly separated by their descriptions and outcomes.

Naming Consistency5/5

All tools follow a consistent lowercase snake_case verb_noun pattern such as get_tutor, list_subjects, search_tutors, prepare_booking, and request_human_tutor. The naming makes the function of each tool predictable.

Tool Count5/5

Seven tools is a well-scoped set for a tutoring platform integration. Each tool addresses a meaningful part of the user journey without redundancy or bloat.

Completeness4/5

The surface covers platform info, discovery, evaluation, subject lookup, and both self-serve and human-assisted booking paths. A minor gap is the absence of direct booking management or tutor availability checks, but these are not required for the primary workflow.

Resources