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google-services-mcp

by nabheet

Create event with Google Meet

google_calendar_create_meet

Create a calendar event with a Google Meet link by specifying title, start, end, and optional attendees or calendar ID. Automatically attaches a video conference for scheduling a virtual meeting.

Instructions

Create a calendar event with an attached Google Meet link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endYesEnd RFC3339 datetime.
startYesStart RFC3339 datetime.
accountNoAccount nickname to use.
summaryYesMeeting title.
attendeesNoAttendee emails.
calendarIdNoCalendar ID (default primary).
descriptionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.1.30
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / attendees / items / pattern
      Added value: +"^(?:[A-Za-z0-9_'+\\-]+\\.)*[A-Za-z0-9_'+\\-]*[A-Za-z0-9_+-]@(?:[A-Za-z0-9][A-Za-z0-9\\-]*\\.)+[A-Za-z]{2,}$"
  2. First observedv0.1.0

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, but it only states the high-level effect. It does not disclose whether a Meet conference is actually created, what permissions/auth are required, what the response contains, or other side effects. This is a significant gap for a mutation tool.

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?

A single, front-loaded sentence with no filler; every word contributes to selecting and understanding the tool's purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite a well-described schema, the definition lacks an output schema and provides no usage alternatives, return behavior, or auth/side-effect context. For a 7-parameter mutation tool with no annotations, this is too thin to be fully actionable.

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 description coverage is high (86%) and parameter descriptions already define meaning. The tool description adds no parameter-level detail, so the baseline 3 is appropriate.

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?

States a specific verb and resource ('Create a calendar event') with a concrete differentiator ('attached Google Meet link') that distinguishes it from the sibling google_calendar_create_event. An agent can tell exactly what this tool produces.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: choose this when a Google Meet link is needed. However, it does not explicitly mention when not to use it or point to google_calendar_create_event as the plain-event alternative, so routing depends on 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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