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Schedule Availability Tool

schedule-availability
Read-only

Calculates verified busy jobs and open planning windows for a local business day without scheduling or changing a job.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoLocal business date, YYYY-MM-DD; defaults to today.
workday_endNoPlanning window end hour.
technician_idNoOptional same-business technician ID.
workday_startNoPlanning window start hour.
duration_minutesNoRequested appointment length.
job_duration_minutesNoPlanning duration for existing jobs.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and destructiveHint, so the safety profile is covered. The description adds useful behavioral context beyond annotations by introducing 'verified busy jobs' and 'open planning windows,' and it reinforces that no scheduling or job mutation occurs.

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?

The entire description is one compact sentence that front-loads the core purpose and behavior. There is no filler or redundant information.

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?

For a read-only calculation tool with no output schema, the description states the outputs at a high level (verified busy jobs and open planning windows) and includes the local-business-day context. The main gap is that it doesn't describe the exact response representation, but the tool is still adequately scoped for correct invocation.

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?

All six parameters are fully described in the schema with defaults, ranges, and formats. The description adds no additional parameter-level meaning, so the baseline score 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 ('Calculates') and names a clear resource ('verified busy jobs and open planning windows') for a defined scope ('a local business day'). It also explicitly states what the tool does not do ('without scheduling or changing a job'), which helps distinguish it from write-oriented tools.

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 gives clear usage context: use this tool when you need to compute availability and busy periods for a business day. It stops short of naming sibling alternatives or explicit when-not-to-use conditions, so it doesn't reach a 5.

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

A3.6/5.0
Disambiguation4/5

Tool families are organized by resource and action (get/search/preview/reports), so most tools have a distinct purpose. A few near-overlaps exist—customer-service-requests vs search-service-requests and the many campaign preview/search tools—but descriptions generally clarify boundaries.

Naming Consistency4/5

The set consistently uses kebab-case with recognizable prefixes like get-, search-, preview-, and reports-, making intent predictable. A few noun-phrase tools (complaint-recall-risk, customer-service-requests, operations-parts, jobs-today) break the verb-first pattern, but they remain readable and grouped.

Tool Count2/5

45 tools is well beyond the 25+ threshold and creates a large surface for agents to navigate, even though the domain is broad. Many tools are narrow read-only variations (e.g., five preview-campaign tools, three reports-* tools), which inflates the count without adding fundamentally new capabilities.

Completeness4/5

As a read-only/insights server, the surface covers customers, jobs, quotes, invoices, leads, locations, service requests, reviews, campaigns, operations, and reporting with both search and detail access. Minor gaps exist—no get-* for campaign types or social drafts—but these align with the intentionally bounded, safe-read model.

Resources