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meeting_slots

Find working-hour time slots that overlap across participants in different timezones for a meeting of a given duration, excluding weekends and (when a country is given per participant) that person's public holidays. Free tier returns at most 1 slot; the paid endpoint returns every matching slot (see 'upgrade' in the response).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
durationYesMeeting duration in minutes.
date_rangeYesInclusive date window to search, e.g. { "start":"2026-07-13", "end":"2026-07-17" }.
participantsYesThe people to meet. Each participant is { timezone (IANA, required), working_hours? { start, end }, country? (ISO alpha-2) }.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden. It discloses weekend exclusion, public-holiday exclusion behavior, the free-tier limit of at most one slot, and that the paid endpoint returns every matching slot via an 'upgrade' signal in the response. It does not mention auth requirements, rate limits, or the exact slot format, but it covers the most decision-relevant behaviors well.

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?

Two dense sentences with no filler. The main action and key constraints are front-loaded, and the free-tier/paid-endpoint distinction is placed efficiently at the end. Every clause earns its place.

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?

The tool has nested parameters and no output schema, so the description needs to provide meaningful context. It explains the core algorithm, exclusions, and plan-dependent response behavior. It does not describe the exact shape of returned slots or provide an example, but the schema provides strong parameter examples and the description gives enough for effective invocation.

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 100%, so the schema already documents all three parameters. The description adds useful semantic context by explaining that participants' timezones are the basis for overlap, duration determines meeting length, and country affects holiday exclusions. This goes beyond simply restating parameter names.

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 states a specific verb ('Find'), a clear resource ('working-hour time slots'), and precise scoping conditions: overlapping availability across timezones, meeting duration, weekends excluded, and holidays excluded when relevant. It is clearly distinguishable from all sibling tools, none of which perform meeting-slot scheduling.

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 gives clear context for when the tool should be used: finding mutually available meeting times across participants in different timezones. It does not name specific alternatives or exclusions, but no sibling tool is a plausible alternative, so the lack of explicit when-not guidance is not a significant gap.

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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