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Find meeting windows

find_meeting_windows

Finds when people in other time zones can meet, when the time is not decided yet: the windows on each day when all participants are within their working hours, accounting for weekends, public holidays and daylight-saving changes, and one suggested start time that fits the most days. Saves that suggested time on those days for 30 days and returns a private perfectclock.cc/s/... link that opens it in Perfect Clock.

Input Schema

NameRequiredDescriptionDefault
tzYesTime zone whose calendar days are scanned (usually the organizer's).
daysNo
fromNoFirst day in `tz`; default today.
titleNoMeeting title, if the user gave one.
participantsYesPeople or places the meeting must suit, each with their own time zone.
durationMinutesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Adds real value beyond the annotations: it discloses that the suggested times are persisted for 30 days (explaining readOnlyHint=false) and that a private perfectclock.cc link is returned. Privacy of the link is a useful trust signal. It does not note that repeated calls create additional saved suggestions (relevant to idempotentHint=false), so it falls short of 5.

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?

Two sentences, front-loaded with the core purpose, then the detail about holidays/DST and the returned link. The second sentence is long and dense but every clause (weekends, holidays, DST, 30-day save, private link) contributes information an agent would otherwise lack.

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?

With no output schema, the description correctly takes on the burden of describing results: per-day windows, a suggested start time, and a shareable link. The main remaining hole is the absence of any relationship to plan_meeting_schedule and unexplained days/durationMinutes semantics.

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 coverage is 67%, and the two undocumented parameters (days, durationMinutes) receive no explanation in the description either. The description implies 'windows' are computed per day and that participants' working hours matter, but adds no format or default guidance beyond what the schema already carries. Baseline 3 is appropriate.

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?

Specific verb plus a precisely scoped resource: it computes the per-day windows where all participants fall inside working hours, plus one best-fit start time. The description is clear enough that an agent knows exactly what it gets back. It never mentions the sibling plan_meeting_schedule, so there is no explicit differentiation, which keeps it at 4.

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 clause 'when the time is not decided yet' is a genuine use condition that tells the agent when this tool applies versus scheduling an already-agreed time. No exclusion or named alternative (e.g. plan_meeting_schedule) is given, so the routing decision is left partly to inference.

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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