Get booking details
get_order_detailsThe Teams joining link and meeting details for a paid order. Available only once payment has settled.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| order_id | Yes |
get_order_detailsThe Teams joining link and meeting details for a paid order. Available only once payment has settled.
| Name | Required | Description | Default |
|---|---|---|---|
| order_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already indicates a safe read operation, and the description adds valuable context about the availability condition (post-payment) and the specific content returned (Teams link, meeting details). It does not over-explain or contradict annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, using two short sentences. Key information is front-loaded, and every word contributes meaning without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With a single parameter and no output schema, the description adequately explains what the tool returns and when it's valid. It doesn't cover error behavior for unpaid orders, but overall it's sufficient for a simple read-only tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one parameter (order_id) with no description coverage. The description partially compensates by specifying the order must be paid, giving some semantic context, but it doesn't clarify the expected format or value range of order_id.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves the Teams joining link and meeting details for a paid order. It is specific about the resource (paid order) and the output, distinguishing it from siblings like get_order_status or get_booking.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use this tool: only once payment has settled. However, it doesn't explicitly mention when not to use it or name alternative tools, so it falls short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have clearly distinct purposes, especially the session booking lifecycle and certificate operations. However, the four deprecated aliases (cancel_booking, get_booking, reschedule_booking, update_booking) perform exactly the same actions as their new counterparts, creating potential confusion despite the deprecation notices.
Newer tools follow a verb_noun pattern (create_order, cancel_order, get_order_details, reschedule_session), but the use of 'order' vs 'session' is inconsistent, and 'order_certificate' uses 'order' as a verb. The deprecated aliases mixing 'booking' with 'order' further muddies the convention, making the overall naming only moderately predictable.
At 16 tools the set feels slightly heavy, but four are deprecated aliases that are exact duplicates of active tools. The effective 12 unique tools are well-scoped for a shop handling both session bookings and certificate purchases, so the count is reasonable.
The session booking lifecycle is fully covered (availability, create, cancel, reschedule, update, status, details) and certificate operations (order, transfer, renounce) are present. Minor gaps exist, such as no way to list all orders or verify a certificate, but these are not critical to the core workflows.