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

Annotations already establish readOnlyHint=true and destructiveHint=false. The description adds useful behavioral detail beyond those: results are relevance-ranked and include page URLs, and only published articles are searched. This is enough for a safe, read-only search 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?

Two sentences with no filler. The core behavior is front-loaded in the first sentence, and the second sentence adds useful topical context about AI visibility and the ANSWER framework.

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?

For a simple read-only search tool, the description is nearly complete: it names the resource, the operation, the ranking behavior, and the output detail that matters most (page URL). With no output schema present, it could have specified return format more explicitly, but it gives enough for an agent to select and invoke it correctly.

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 already well documented ('Keywords to search for', 'Results to return. Default 10.'). The description adds no extra parameter-level meaning, so the baseline of 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 states a specific verb ('keyword search') and resource ('published HiBot articles'), and adds distinctive behavioral details: relevance ranking and per-result page URLs. This clearly separates it from siblings like list_blog_articles and get_blog_article.

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 gives clear context: this is for keyword-based searching across published articles and serves as reference reading. It does not explicitly name alternatives or say when not to use it, so it stops short of a 5, but the intended use is unambiguous.

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