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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description adds genuine value beyond them by disclosing what comes back (titles, links, categories, one-time prices in both INR and USD) and that the catalogue is public, which matters since there is no output schema.

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?

Two sentences, no waste, and the core action plus resource is front-loaded before the example list and the return-value clause. The examples each earn their place by illustrating a different query axis (skill, role, language/context, compliance).

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 correctly compensates by summarising the return fields, and it makes the public/unauthenticated nature of the catalogue clear. What remains unaddressed is result-set behaviour: nothing about default page size, the 1-25 limit range, or whether more results exist beyond the cap.

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 coverage is 67%, and the description extends the bare "What to measure, for whom, or why" with concrete query patterns ('numerical reasoning', 'first-time manager', 'POSH committee'), giving the agent a real sense of the query's semantic space. It does say prices are returned in INR and USD, which contextualises the USD-only price filter, but it says nothing about `limit` or the semantics of `max_price_usd`.

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 ("Search") and a precise resource ("AssessAll's public catalogue of online assessments") with the qualifying dimensions spelled out (skill, role, purpose, keyword). The concrete query examples further pin down what counts as in-scope, which implicitly separates it from practice tests and guides, but no sibling is named explicitly.

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 phrasing "by skill, role, purpose or keyword" and the sample queries imply when to reach for this tool (exploratory discovery against the catalogue). However, it never states when NOT to use it or points to get_assessment/list_practice_tests/search_guides for adjacent needs, so the routing decision is left to inference.

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