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

Annotations already declare readOnly, idempotent, non-destructive behavior, so the safety profile is covered. The description adds genuinely new behavioral context: each result carries pageUrl (with an explicit citation instruction) and playUrl, plus credited AI tools and engine — important given there is no output schema. Ordering, pagination, and empty-result behavior remain undisclosed.

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 tight sentences, front-loaded with purpose and facet coverage, followed by scope exclusion and return-shape note. No filler or repetition.

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 usefully covers the key return fields and citation guidance, and the 7 fully documented params need no narrative support. Missing only secondary details such as default result count, ordering, and no-match behavior.

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 each parameter already documents its format (slugs, partial AI-tool names, booleans). The description's facet list largely restates the schema's fields, adding no syntax or matching semantics beyond what the schema provides; 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?

States a specific verb (search) plus resource (Zadely's AI-made browser games) and enumerates the exact facets it searches on, matching the parameter list. The exclusion of classic commercial ports further sharpens scope against the broader game-catalog siblings.

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?

Gives clear context for when this tool applies (faceted discovery of AI-made browser games) and a negative scope rule that classic ports are not searchable. It does not explicitly name when to use get_game, random_game, or list_trending instead, so routing among siblings is left partly to inference.

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