check_availability
Use when the user asks about dates, timing, or whether a service can likely be booked soon.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| postcode | Yes | ||
| service_type | Yes | ||
| preferred_date | No | ||
| time_preference | No |
Use when the user asks about dates, timing, or whether a service can likely be booked soon.
| Name | Required | Description | Default |
|---|---|---|---|
| postcode | Yes | ||
| service_type | Yes | ||
| preferred_date | No | ||
| time_preference | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It only says the tool is used for checking date/timing questions, but doesn't disclose what it returns (boolean, list of slots, etc.), whether it mutates anything, or any side effects. This is insufficient for a tool with no annotation safety profile.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One short sentence, no redundant text. It is concise but at the expense of necessary detail, making it under-specified rather than appropriately sized.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With 4 parameters, no output schema, and no annotations, the description fails to cover key aspects like return value, parameter usage, and relation to sibling tools. For a check-like tool, users need to know whether it returns a boolean, available dates, etc., which is entirely absent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 4 parameters with 0% description coverage. Description only vaguely references 'dates and timing' (preferred_date/time_preference) and 'service' (service_type), but completely omits the required postcode parameter. It does not explain any parameter semantics or formats.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description tells when to use the tool but not what it actually does. It implies availability checking via 'whether a service can likely be booked soon,' but lacks an explicit verb and resource. It does not distinguish from siblings like check_service_area or get_customer_availability.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Starts with 'Use when the user asks about dates, timing, or whether a service can likely be booked soon,' giving a clear trigger condition. However, it does not mention when not to use it or alternative tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.