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

With no annotations, the description carries the full burden and does disclose the result shape (titles, URLs, excerpts) and an important content policy (paid content excluded, hybrid ranking). It omits auth/permission requirements, rate limits, pagination, and whether ranking is stable, which are notable gaps for a no-annotation tool.

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 short sentences, all front-loaded: scope first, return shape second, exclusion third. No filler, no repetition of the tool name or schema fields.

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?

There is no output schema, and the description compensates by stating what is returned (titles, URLs, excerpts), which is the key missing piece. For a simple two-parameter read tool this is nearly sufficient; only edge details like empty-result behavior or query limits beyond the schema are unaddressed.

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% and both parameters are documented there (query as natural-language question, limit with default 5 and max 10). The description adds no syntax, format, or query-crafting guidance beyond the schema, 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?

Specific verb ('search') + resource ('Optimus University library'), narrowed by content types (courses, worksheets, frameworks) and retrieval mode (hybrid keyword + semantic). An agent immediately knows what corpus this covers, though it never explicitly contrasts itself with siblings like list_skills or get_skill.

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 implied by the clear corpus description, and the sentence 'Paid member content is never returned here' sets a boundary on what the tool will find. However, it names no alternative tool or the condition under which an agent should prefer get_skill/list_packs over searching the library.

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