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

Annotations already declare this is a read-only, idempotent, non-destructive operation, so the safety burden is light. The description still adds value beyond them by disclosing the returned fields (titles, summaries, level, length, links) and the empty-query behavior, though it omits any note on result ordering semantics when a query is present.

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?

Three tight sentences, front-loaded with the core purpose, then return values, then the edge-case behavior. No redundancy and nothing that could be trimmed without losing information.

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 no output schema, the description usefully enumerates the returned fields, and it covers the empty-query case. It stops short of describing ordering or truncation behavior when results exceed the limit, which is a minor gap for a search tool.

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?

Schema description coverage is 100%, so the schema already documents query, limit, and language, including the enum meanings and defaults. The description adds topical query examples and the empty-query semantics for 'query', but says nothing further about limit or language behavior, so the baseline of 3 holds.

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?

States a specific verb and resource (find quantum computing lessons by topic) and names the domain (RoRo Academy), with concrete topic examples that make the retrieval target unambiguous. It does not, however, explicitly contrast itself with siblings like get_lesson or list_learning_tracks, so differentiation is inferred rather than stated.

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 implies the usage context (topic search) and gives one useful edge case: an empty query lists lessons in course order. It never names an alternative sibling or states when to prefer this over get_lesson or list_learning_tracks, so the routing guidance is only implied.

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