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Schedule Meeting

create_meeting

Schedule a calendar meeting by specifying subject, start/end times, timezone, attendees, and optional PIN, room, recording, or SIP settings. Returns the meeting URL and event details.

Instructions

Schedule a calendar meeting; returns {url, event}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endYesISO 8601 datetime.
startYesISO 8601 datetime, e.g. "2026-07-21T15:00:00".
subjectYesmeeting title.
pin_codeNo4–6 digit PIN.
timezoneNoe.g. "GMT+3".GMT+3
room_nameNoattach to an existing room; omitted → server makes a new room.
enable_sipNoallow phone/SIP dial-in.
descriptionNoagenda / body text.
is_recurringNorecurring series.
required_attendeesNolist of {"type":"user","key":<SID>} objects.
enable_auto_recordingNostart recording automatically.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Annotations already indicate this is a write operation (readOnlyHint=false) and not idempotent. The description adds only the return value ({url, event}), but an output schema exists, so this is redundant. It does not disclose side effects, permission requirements, or behaviors like duplicate creation on repeated calls.

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 a single, front-loaded sentence that conveys the core purpose and return value. Every word earns its place, with no unnecessary filler.

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 tool with 11 parameters and a rich schema, the description is minimal but the schema and annotations provide sufficient context. The output schema covers return values, so the description need not explain them. It is slightly lean but functionally complete.

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 100%, so the baseline is 3. The description does not add any information about parameter semantics beyond what the schema already provides, so it neither compensates nor detracts.

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 'Schedule a calendar meeting' uses a specific verb and resource, clearly distinguishing it from sibling tools like create_room (which creates a room) and list_meetings (which lists). It also states what it returns, adding value.

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?

The usage context is implied by the name and description, but there is no explicit guidance about when to use this tool versus alternatives, such as 'use create_room if you only need a room without scheduling'. No exclusions or alternative references are provided.

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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