generate_lesson_plan

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

With no annotations provided, the description fully discloses behavioral traits: it generates structured output without modifying external systems, is deterministic, has no side effects, specifies rate limits (free 10/day, pro unlimited), and states that no authentication is required for basic usage. This is comprehensive.

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 well-structured with an intro, Args list, Behavior section, and usage guidelines. It is not overly verbose, though the 'When to use' sections could be slightly more concise. Overall, it is clear and organized.

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?

Given 7 parameters, no output schema, and no annotations, the description covers purpose, usage, and most parameters but misses the 'api_key' parameter and does not describe the output format. The 'When NOT to use' is generic. It is adequate but has gaps.

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?

Input schema has 0% description coverage, so the description must compensate. It adds examples for subject, topic, age_group, and duration_minutes, clarifies learning_objectives as optional and auto-generated, and explains differentiation. However, it omits the 'api_key' parameter entirely, leaving it undocumented. This is good but not perfect.

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 it generates a structured lesson plan with objectives, activities, and assessment. The verb 'Generate' and resource 'lesson plan' are specific, and it distinguishes itself from sibling tools like analyze_student_progress, create_quiz, generate_rubric, and recommend_learning_path.

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 includes explicit 'When to use' and 'When NOT to use' sections, providing clear context. However, the 'when to use' is somewhat generic and does not directly contrast with siblings, though it mentions rate limits and authentication requirements. This is still above average.

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