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

No annotations are provided, so the description carries the full behavioral burden, but it only names content domains. It does not state that the operation is read-only, how results are grouped by category, whether there are rate limits, or what authentication is needed.

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 definition is a single front-loaded sentence that states the search scope without filler. Every listed domain earns its place by telling the agent what corpus is covered.

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?

The description gives a useful inventory of covered domains, but with no output schema it does not explain the return structure or categorization of results. It is adequate for a simple search tool but leaves meaningful gaps around result format and tool selection.

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 the schema already documents both the query parameter with examples and the limit parameter with default and max values. The description adds no parameter-specific semantics beyond the schema, so the baseline 3 is appropriate.

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 uses a specific verb, 'Search', and enumerates the K53 curriculum, SADC-RTSM road signs, rules, vehicle controls, learner mistakes, and DLTC centres. This clearly distinguishes it from siblings like check_readiness and get_platform_stats, though it does not explicitly separate it from get_top_mistakes, which overlaps the 'common learner mistakes' domain.

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 states what content can be searched but gives no explicit when-to-use guidance, no exclusions, and no alternatives. In particular, it does not tell an agent when to search broadly versus using get_top_mistakes for mistake-focused queries.

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