tilwhen date engine

Next occurrence of an event or weekday

next_occurrence

Read-onlyIdempotent

The next occurrence strictly after the base date (default today) of either a tracked event slug (e.g. "christmas") or a weekday (0 = Sunday .. 6 = Saturday). Provide exactly one of event/weekday.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`tz`	No	IANA timezone that defines "today" (e.g. Africa/Kampala). Default UTC.	UTC
`from`	No	ISO date YYYY-MM-DD, or "today" (resolved in tz)
`event`	No
`weekday`	No

Output Schema

TableJSON Schema

Name	Required	Description	Default
`answer`	Yes	The calculated answer (kind-discriminated)
`receipt`	Yes	Auditable receipt: inputs, timezone, convention, workweek, holiday calendar, exclusions, versions, stable result ID

TDQS

A4.4/5.0

Behavior4/5

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

Annotations indicate readOnly, idempotent, non-destructive. The description adds behavior: 'strictly after' and 'default today'. No contradictions.

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?

Single sentence conveying all essential information with no fluff. Front-loaded with purpose and constraints.

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 the presence of an output schema (not shown but indicated), the description focuses on input semantics and usage constraints, which covers the tool's purpose adequately.

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

Parameters4/5

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

Schema coverage is 50% but the description adds meaning for event and weekday (example for event, range for weekday). The schema covers tz and from, so description complements well.

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 finds the next occurrence of a tracked event slug or weekday strictly after a base date. It distinguishes from sibling tools like add_days or business_days which are about date arithmetic or filtering.

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 requires providing exactly one of event or weekday, and explains the default base date. It does not mention when not to use the tool or compare to siblings like holidays, but the context is sufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All tilwhen date engine tools Inspect

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TDQS

A4.1/5.0

Disambiguation5/5

Each tool targets a distinct date operation: calendar addition/subtraction, business days, days between, holidays, invoice due, next occurrence, natural language parsing, and an explainer. No two tools overlap in purpose; descriptions clearly differentiate them.

Naming Consistency5/5

All tool names follow a consistent pattern: lowercase with underscores, predominantly verb_noun (add_days, parse_date_query) or noun_phrase (business_days, invoice_due). The naming is uniform and predictable.

Tool Count5/5

With 9 tools, the server is well-scoped. Each tool addresses a core date calculation need without redundancy or bloat. The count is appropriate for a focused date engine.

Completeness5/5

The tool surface covers all essential date operations: calendar arithmetic, business days, holidays, payment terms, next occurrences, and natural language queries. No obvious gaps remain for common date calculations.

Resources

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