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create_customer_booking

Use after verification, detail collection, and confirmed paid payment session to create a booking scoped to the verified customer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
address_idNo
contact_idNo
photos_urlNo
service_typeYes
task_summaryYes
session_tokenYes
preferred_dateNo
idempotency_keyNo
time_preferenceNo
consent_to_contactNo
payment_session_idYes

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It reveals that this is a write operation (creating a booking) and that it requires prior payment and verification, which is useful. However, it does not disclose side effects, idempotency, failure conditions, or return behavior. The preconditions are helpful but not comprehensive.

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

Conciseness4/5

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

The entire description is one sentence, front-loaded with the most important usage context. There is zero fluff. However, given the tool's complexity (11 parameters), a single sentence may be too terse to carry all necessary guidance, so it loses one point for under-specification.

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

Completeness2/5

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

This tool has 11 parameters, no annotations, no output schema, and zero schema documentation. The description only provides order-of-operations context. It does not explain return values, error handling, idempotency behavior, or how the many parameters interact. For such a complex creation tool, the description is substantially incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has zero description coverage, and the tool description provides no information about any of the 11 parameters. It only implies that session_token and payment_session_id are related to verification and payment, but this is not explicit. With no parameter explanation anywhere, the agent is left to guess the meaning of fields like task_summary, preferred_date, and idempotency_key.

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?

The description clearly states the action: 'create a booking scoped to the verified customer.' It uses a specific verb and resource, and the 'verified customer' qualifier hints at the tool's distinct role among siblings. However, it does not explicitly differentiate from the similar sibling 'create_booking_request', so it misses full sibling distinction.

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 preconditions: 'Use after verification, detail collection, and confirmed paid payment session.' This tells the agent when it is appropriate to invoke the tool. It does not mention when not to use it or point to alternatives, but the context is clear enough for a 4.

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

B3.3/5.0
Disambiguation3/5

Some tools overlap in purpose, such as check_availability vs get_customer_availability and the various verification entry points. Descriptions clarify the context of each, but an agent could still misselect without careful reading.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with snake_case, e.g., check_availability, create_booking_request, get_booking_status. This makes the naming predictable and easy to navigate.

Tool Count3/5

With 20 tools, the server is on the heavier side but the scope is broad, covering booking, customer verification, payments, and provider matching. The count feels slightly high but each tool serves a distinct step in the workflow.

Completeness4/5

The tool surface covers the full booking lifecycle from availability and quote to payment and final creation. Notable gaps include lack of update or cancel booking operations, but the core flow is well covered.

Resources