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list_absences

List absences between two dates, merging bookings, non-working days, and public holidays. Filter by type to include only bookings or all events.

Instructions

Get a chronological list of who is off between two dates.

The single best endpoint for "who is off on/around a given day" — it merges bookings, non-working days, public holidays and (optionally) other events without needing multiple queries.

Args: start: Start date, ISO format YYYY-MM-DD. end: End date, ISO format YYYY-MM-DD. Max 31 days after start. query_type: What to include. AllAbsences (bookings, public holidays and non-working days), Bookings, PublicHolidays or AllEvents (also birthdays, work anniversaries and locked dates).

Rate limited to 1 request per second; limited to a 31-day range.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endYes
startYes
query_typeNoAllAbsences
Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses rate limiting (1 req/s) and a 31-day max range, which are key behavioral constraints. It does not mention safety (read-only/destructive) or authentication requirements, but for a list endpoint these are less critical.

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?

The description is moderately concise and well-structured, with a brief introduction, a usage recommendation, and a bulleted Args section. A small amount of redundancy exists (rate limit mentioned twice), but overall efficient.

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?

Given no output schema, the description still provides enough context for correct invocation: parameter formats, constraints, and usage guidance. It could be enhanced by describing the expected return structure, but for a list tool with simple parameters this is adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description provides detailed parameter semantics: start/end date formats (ISO YYYY-MM-DD) and range constraint (max 31 days), plus enumerations for query_type with clear meanings. This fully compensates for the lack of schema descriptions.

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 clearly states the tool retrieves a chronological list of absences between two dates, with a specific verb 'get' and resource 'list of who is off'. It distinguishes itself from siblings by merging multiple types of absences (bookings, holidays, events) into one query.

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 explicitly frames this as 'the single best endpoint' for checking who is off on a given day, and explains it avoids multiple queries. It also describes the query_type parameter to refine the scope, but does not explicitly mention when not to use it or alternative tools for specific cases.

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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