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course_generate

Generate AI-driven courses with customizable modules, lessons, and quizzes. Define topic, audience level, module count, and quiz preferences to create tailored educational content.

Instructions

Generate a complete course with AI including modules, lessons, and quizzes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesCourse topic
modulesNoNumber of modules (default: 5)
audienceNoTarget audience: beginner, intermediate, advanced
includeQuizzesNoInclude quizzes (default: true)
lessonsPerModuleNoLessons per module (default: 3)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It discloses that the tool generates a complete course, but omits behavioral details such as expected execution time, cost, whether partial results can be returned, or any side effects. This is insufficient for a generation tool.

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 concise sentence with no filler. It efficiently conveys the tool's core function.

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

Completeness3/5

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

With 5 parameters and no output schema, the description is moderately complete. It states the generated content components but doesn't describe the return format, handling of optional parameters, or any limitations. For a relatively complex tool, more context would be helpful, but it's not severely inadequate.

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 5 parameters. The description mentions modules, lessons, and quizzes which maps to some parameters but adds no additional semantic value beyond what the schema provides.

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 uses a specific verb 'generate' and identifies the resource 'a complete course' with components (modules, lessons, quizzes), clearly distinguishing it from sibling tools like content_generate which likely handle single content pieces.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. It doesn't mention exclusions, prerequisites, or comparisons to sibling tools like content_generate or run_workflow.

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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