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List Available Slots

list-available-slots
Read-only

List the available booking slots for a company on a given date. Returns shifts and bookable hours; use the shift_id and hour when creating a booking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesThe date to check, in YYYY-MM-DD format (e.g. 2026-07-20).
company_idYesThe company id, as returned by the find-company tool.

TDQS

A4.3/5.0
Behavior4/5

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

With readOnlyHint=true, the description adds useful behavioral context by stating it returns shifts and bookable hours, and that shift_id and hour are used for booking creation. This goes beyond the annotation without contradicting it.

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 short sentences with no filler. The purpose and key downstream usage are conveyed efficiently, making it easy for an agent to scan and act.

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?

For a simple read-only tool with two well-documented parameters and no output schema, the description fully covers what the tool returns and how the result should be used. No additional context is needed.

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%, and both parameters are already clearly documented. The description reinforces that the date and company_id identify the slots but adds no new parameter-level detail, so a 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 uses a specific verb ('List') with a clear resource ('available booking slots for a company on a given date'), which precisely distinguishes this read-only tool from sibling tools like create-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?

The description implies this tool should be used before creating a booking by instructing to use the returned shift_id and hour when creating a booking. It clearly positions the tool in the booking workflow, though it does not explicitly state when not to use it.

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

A4.3/5.0
Disambiguation5/5

Each tool has a clear, distinct role: find-company for lookup, list-available-slots for availability, create-booking for reservations, get-booking-info for retrieval, and cancel-booking for cancellation. No overlapping purposes.

Naming Consistency5/5

All tool names follow a consistent verb-noun pattern with lowercase hyphenated style (cancel-booking, create-booking, find-company, get-booking-info, list-available-slots). Perfectly predictable.

Tool Count5/5

Five tools are well-scoped for a booking system, covering the essential guest-facing operations without unnecessary additions. The count feels appropriate and focused.

Completeness4/5

The core booking lifecycle (create, read, cancel) is covered, along with prerequisites like company lookup and slot listing. An update/modify booking operation is missing, which is a minor gap but not critical for the primary use case.

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