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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the return format (titles, summaries, links), warns that detail lives in the actual article, and exposes a non-obvious behavioral trait: a single empty result is usually a vocabulary mismatch, not an absence of content. This is exactly the kind of context an agent needs beyond the 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?

The description is dense but every clause earns its place: scope, topical coverage, category guidance, return format, and a search heuristic. It front-loads the resource and purpose, so an agent quickly understands what the tool does before reading the detail.

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?

Despite having no output schema, the description adequately explains what the tool returns and how to interpret failures. The main parameters are covered, return behavior is clear, and the tool's scope is thoroughly bounded. Nothing critical is missing 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?

The schema already documents query and category with descriptions and limit with constraints, covering 67% of parameters. The description adds that omitting query returns recent articles and that category values correspond to browseable site sections, which is helpful. However, it does not elaborate on the limit parameter, and the coverage gap is only partially compensated.

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 opens with a specific verb and resource ('Search RBX Invest's published guides') and then enumerates the exact topical coverage. This clearly distinguishes it from siblings like search_items or find_deals, which target item/deal data rather than written guides.

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 provides clear context for when to use the tool — when the user wants educational or explanatory content about Roblox economics, item histories, or the site itself. It also gives practical guidance on interpreting empty results ('try the words the site would use'). It does not explicitly name alternative tools or state when not to use it, so it stops short of a 5.

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