Skip to main content
Glama

create_seat_offering

Creates a seat offering in LearnWorlds, specifying courses, number of seats, and managers to grant course access to a group of users.

Instructions

🟡 WRITE · creates data · POST /v2/seats

Creates a new seat offering. The endpoint response is the created Seat offering resource.

Behavior: creates a record or triggers an action in the live school. Not idempotent: a repeated call can duplicate the effect. Auth (admin API token + Lw-Client id) is injected server-side, never by the model; calls are throttled to stay under LearnWorlds' 30-per-10s cap and retried on 429/5xx. Parameters: the whole JSON payload goes in the single body argument, forwarded verbatim (the spec leaves body optional, but this endpoint expects one). Returns: HTTP <status> followed by the LearnWorlds JSON response body. A non-2xx reply surfaces as a tool error with that status and the API error payload — 401 bad/expired token, 403 not permitted, 404 no such record, 422 rejected input. Use when: only when the user asked to create this. Check with a 🟢 read tool that the target exists and the record is not already there. Related Multiple seats tools: add_user_seat_offering, delete_seat_offering, get_seat_offerings, get_specific_seat_offering, get_users_seat_offering.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoRequest body (application/json).

Schema Changelog

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

  1. First observedv1.0.0

TDQS

A4.7/5.0
Behavior5/5

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

Goes well beyond annotations by explaining non-idempotency, live-school mutation risk, server-side auth injection, throttling under 30-per-10s, retry behavior on 429/5xx, and detailed HTTP error mappings. This fully aligns with the annotations and adds substantial operational context.

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 organized into labeled sections (Behavior, Parameters, Returns, Use when) and front-loaded with a clear one-line summary. No sentence is wasted; the length is justified by the operational caveats and error semantics.

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?

Despite having no output schema, the description covers the return format, error behavior, prerequisites, related tools, auth, throttling, and non-idempotency. The only remaining details are the body fields themselves, which are fully documented in the input schema.

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% and the body schema already documents each field. The description adds important meaning by saying the entire payload goes in a single body argument, is forwarded verbatim, and that body is effectively required even though the spec marks it optional.

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 clearly that the tool creates a new seat offering, with the endpoint POST /v2/seats and an explicit WRITE label. This distinguishes it from the related get/update/delete seat tools by naming the specific create operation and resource.

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?

Provides a dedicated 'Use when' section saying to use this only when the user asked to create this, and advises checking with a read tool first. It names several related seat tools, though it does not explicitly say to use update_seat_offering for modifications, so it is slightly incomplete as an alternatives guide.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ohneben/Learnworlds-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server