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create_event

Destructive

Schedule calendar events in Microsoft 365 via an approval-protected two-phase flow: submit event details for preview, receive request ID, then execute after human approval.

Instructions

Create a calendar event on the active Microsoft account. TWO-PHASE, HUMAN-APPROVED: the first call (no request_id) executes nothing — it returns status=approval_required with a preview of exactly what would happen and a request_id. A human approves out of band (GigaMail console, CLI or Telegram, behind Windows Hello / Touch ID); the second call with that request_id executes the payload that was approved (the approved arguments, not the ones passed the second time). Requests expire (default 15 min); identical pending requests are deduplicated; more than 20 requests/hour per tool are refused (status=rate_limited). Every phase is written to the audit log. Approval is required because an event can generate invitations to other people. The preview shows all fields as they will be created. Returns the created event ({id, ...}) on execution. Requires a Microsoft account (Graph calendar). Find times with find_free_slots first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endYesEnd, ISO 8601 local time; must be after start.
bodyNoOptional description / notes.
startYesStart, ISO 8601 local time, e.g. 2026-08-12T15:00:00.
subjectYesEvent title.
locationNoOptional location text.
request_idNoOmit on the first call. On the first call the tool does NOT execute: it returns status=approval_required, a preview and a request_id. A human must approve that request_id out of band (GigaMail console, `gigamail approvals approve`, or Telegram — all behind Windows Hello / Touch ID). Then call again with the same request_id to execute. The agent cannot approve; repeating the call without approval just returns awaiting_approval.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed6 schema fields changedv0.3.0
    • addedInput schema / properties / body / description
      Added value: +"Optional description / notes."
    • addedInput schema / properties / end / description
      Added value: +"End, ISO 8601 local time; must be after start."
    • addedInput schema / properties / location / description
      Added value: +"Optional location text."
    • addedInput schema / properties / request_id / description
      Added value: +"Omit on the first call. On the first call the tool does NOT execute: it returns status=approval_required, a preview and a request_id. A human must approve that request_id out of band (GigaMail console, `gigamail approvals approve`, or Telegram — all behind Windows Hello / Touch ID). Then call again with the same request_id to execute. The agent cannot approve; repeating the call without approval just returns awaiting_approval."
    • addedInput schema / properties / start / description
      Added value: +"Start, ISO 8601 local time, e.g. 2026-08-12T15:00:00."
    • addedInput schema / properties / subject / description
      Added value: +"Event title."
  2. First observedv0.1.3

TDQS

A4.4/5.0
Behavior5/5

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

Goes far beyond annotations by detailing the two-phase approval mechanism, request expiration, deduplication, rate limiting, audit logging, the reason approval is required (invitations), and the fact that the second call uses approved arguments rather than passed ones. No contradiction with annotations.

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?

The description is dense but well-structured: it opens with the core action and approval requirement, then systematically covers expiry, dedup, rate limits, audit, preview, return, and prerequisites. Every sentence carries necessary information, though it is lengthy.

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

Completeness5/5

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

For a tool with a complex two-phase approval and security-sensitive behavior, the description covers all critical aspects: the flow, security, rate limits, return format, and account requirement. No output schema exists, but the return value is described. An agent has enough to call it correctly.

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 schema already documents all parameters. The description adds context about the request_id flow (approval, preview, and execution) which is also covered in the schema, but it reinforces the behavior without adding new semantics for other parameters.

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 ('Create'), resource ('calendar event'), and scope ('on the active Microsoft account'). It clearly distinguishes from siblings like delete_event, list_events, and find_free_slots by naming the action and resource explicitly.

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?

Explicitly advises 'Find times with find_free_slots first', giving a clear precondition. It also describes the required two-phase approval flow, but does not name alternative creation tools or explicitly state when not to use this tool beyond that.

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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