list_lessons
List published lessons in a course (course slug or ID).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| course | Yes | Course slug or ID |
List published lessons in a course (course slug or ID).
| Name | Required | Description | Default |
|---|---|---|---|
| course | Yes | Course slug or ID |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds one genuine behavioral detail beyond that — only PUBLISHED lessons are returned, so drafts are excluded — but says nothing about ordering, pagination, or result shape.
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?
One short sentence with zero waste, front-loading the action and scope before the required-input reminder. Every clause earns its place.
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?
For a simple single-parameter read tool with complete annotations and no output schema, the description is nearly sufficient: it names the resource, the published-only filter, and the input. Only ordering/pagination behavior is left unstated.
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?
There is a single parameter with 100% schema description coverage, so the schema already documents 'course' as a slug or ID. The parenthetical in the description merely repeats that schema text without adding format, resolution, or error semantics, making the baseline 3 correct.
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 states a specific verb ('List') and resource ('published lessons in a course') with the key scoping qualifier 'published'. It is clearly distinguishable from single-item siblings like get_lesson and get_premium_lesson, though it never names those alternatives explicitly.
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?
Usage is only implied: an agent can infer this is the bulk-retrieval tool for a course's lessons, and the parenthetical confirms the required input. There is no statement of when to prefer it over get_lesson/search, and no exclusions or prerequisites are given.
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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