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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety and idempotency are covered structurally. The description adds that the 'things to try' content derives from recorded runs and that links to the 3D tour and challenge are included, which is modest extra context but not behavioral detail like failure modes or missing-slug behavior.

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?

A single sentence, front-loaded with 'A lesson in full', with the content list ordered from substance (decision, key idea) to extras (links, tours, challenge). Dense but every clause names a distinct payload element, so little is wasted.

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 an output schema present, enumerating the returned contents in the description is largely duplicative, and the description thus spends its budget restating the shape rather than covering the gaps that remain (verb, when-to-use, behavior on an unknown slug). Adequate for calling the tool, but not compensatory.

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?

Only one parameter exists and schema description coverage is 100%: the schema documents the slug and enumerates all 18 valid values, and even notes its provenance from search_lessons. The description adds nothing about the parameter, so the baseline 3 applies.

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 names a specific resource (an AI PM Lab lesson) and enumerates its parts — product decision, key idea, things to try, takeaways, questions, links — so an agent knows what 'a lesson' contains. However, the verb is only implicit ('A lesson in full' rather than 'retrieve the full lesson by slug') and it never names the sibling it differs from, search_lessons, which is the natural alternative.

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?

Nothing says when to call this versus search_lessons (discovery) or define_term/quiz_me (reinforcement). The only routing hint lives in the schema's slug description ('from search_lessons'), not in the description text, and there are no exclusions or prerequisites stated.

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