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get_available_times

Retrieve available appointment slots for a healthcare practitioner within specified date ranges to schedule patient visits.

Instructions

Get available appointment times for a practitioner

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
business_idYesBusiness ID
practitioner_idYesPractitioner ID
fromYesStart date for availability check (YYYY-MM-DD)
toYesEnd date for availability check (YYYY-MM-DD)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states a read operation ('Get'), implying it's likely non-destructive, but doesn't disclose any behavioral traits such as authentication needs, rate limits, return format, or whether it's a real-time check versus cached data. This is a significant gap for a tool with no annotation coverage.

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 description is a single, efficient sentence that directly states the tool's purpose without any fluff or redundancy. It's appropriately sized and front-loaded, making it easy for an agent to parse quickly.

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?

Given the complexity of appointment scheduling and no output schema, the description is incomplete. It lacks details on return values (e.g., time slots, duration), error handling, or dependencies on other tools. With no annotations and a read operation that likely involves business logic, more context is needed for effective use.

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%, so the schema fully documents all 4 parameters. The description adds no additional meaning beyond what's in the schema, such as explaining relationships between parameters or usage nuances. Baseline 3 is appropriate when the schema does the heavy lifting.

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 verb 'Get' and the resource 'available appointment times for a practitioner', making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'list_appointments' or 'get_appointment', which might also involve appointment scheduling, 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 Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. With siblings like 'list_appointments' and 'get_appointment', there's no indication of context, prerequisites, or exclusions, leaving the agent to guess based on tool names alone.

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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