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compute_availability_from_busy_times

Turn busy calendar intervals into available when2meet slots. Supply start/end times, timezone, and optional buffers or daily restrictions to compute open meeting periods.

Instructions

Compute free slots from ISO calendar busy intervals.

Args: url: when2meet poll URL busy_times: List of {start, end} ISO-8601 datetimes when busy timezone: IANA timezone for comparisons week_start_date: Date of column 0 (YYYY-MM-DD). Inferred from today if omitted. all_day_dates: Optional list of YYYY-MM-DD all-day busy dates buffer_minutes: Expand busy intervals by this many minutes block_before: Daily cutoff like "10:00" block_after: Daily cutoff like "18:00"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
timezoneNoAmerica/New_York
busy_timesYes
block_afterNo
block_beforeNo
all_day_datesNo
buffer_minutesNo
week_start_dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden of disclosing behavior. It does convey that this is a computation ('Compute free slots') and explains key transformations like buffer expansion and daily cutoffs. However, it does not state whether the url is fetched over the network, whether the operation is read-only, or what side effects, if any, occur.

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 compact and well-structured: a one-sentence purpose statement followed by a tight argument list with no filler. Every line conveys necessary information for invoking the tool correctly.

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 computation-focused tool, the description covers the core purpose and all parameter semantics, and the presence of an output schema means return values need not be described. It is slightly incomplete only in usage guidance and behavioral side-effect disclosure, which prevents a perfect score.

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?

The input schema has 0% description coverage, but the description fully compensates by documenting all eight parameters with types and meanings. It clarifies the ISO-8601 shape of busy_times, the IANA timezone default, the week_start_date inference behavior, all-day dates, buffer_minutes, and daily cutoffs. This exceeds what the schema provides.

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 states a clear verb-resource pair: 'Compute free slots from ISO calendar busy intervals.' It also provides a parameter list that reinforces the function's scope. However, it does not explicitly distinguish itself from siblings like find_common_availability or preview_availability, leaving some differentiation to inference.

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?

No guidance is given about when to choose this tool over its siblings. There is no mention of alternatives, exclusions, or the specific scenario where computing availability from busy times is preferable to finding common availability or previewing availability. The usage context is only implied by the tool name and description.

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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