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Get availability

get_availability
Read-onlyIdempotent

Live bookable windows over the next days, from the business's own schedule (hours, crew, jobs, holds, blocks). Pass service_sku to get windows sized for that service's duration and crew, plus: operating_state (open | closed | open_fully_booked | emergency_only | temporarily_unavailable | booking_future | unknown), confidence (verified | stale, with a note when not verified recently), earliest, the service's price and whether it auto-books or needs the owner. Use a slot's start with place_service_request or book_slot; the slot is held the moment the draft is created.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoYYYY-MM-DD to start from
daysNo1 to 14, default 5
slugYes
service_skuNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, non-destructive semantics, so the bar is lower, and the description adds real value: the confidence field can be 'stale with a note', and critically it warns that 'the slot is held the moment the draft is created'. That hold side-effect is exactly the kind of context annotations cannot convey.

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?

Purpose is front-loaded and every sentence carries information, but the inline enumeration of operating_state values makes the middle dense and run-on. Slightly overloaded, yet no sentence is wasted.

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?

With no output schema, the description does the work of describing returns (operating_state, confidence, earliest, price, auto-book behavior). This is thorough for an availability tool; the main remaining gap is the unexplained required slug parameter.

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 only 50% (slug and service_sku are undocumented in the schema). The description compensates well for service_sku by explaining it sizes windows for the service's duration and crew, but leaves slug entirely unexplained and adds nothing about date/days beyond their schema text.

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 precise verb+resource: it returns 'live bookable windows over the next days' and names the underlying schedule sources (hours, crew, jobs, holds, blocks). This distinguishes it clearly from siblings like get_business or get_services.

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?

It explains when to pass service_sku (to get windows sized for that service's duration and crew) and routes the agent downstream to place_service_request or book_slot using a slot's start. It doesn't explicitly state when NOT to use it, but the context and alternatives are clear.

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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