get_public_game_stats

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

No annotations are provided, so the description carries the transparency burden. It discloses that no API key is needed, that it only works for public experiences, and that results include live/lifetime stats. It could add edge-case behavior such as invalid or private universe IDs, but the access model is well communicated.

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 compact and well-structured: first sentence states what it does, second adds context, final sentence gives use cases. Every sentence earns its place with no filler.

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 enumerates the returned stats fields (player count, visits, favourites, ratio, genre, server size, last update). It also covers access requirements and use cases. It stops short of error handling, rate limits, or partial-failure behavior, but the tool is simple and the description is largely complete.

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%, so the baseline is 3. The description adds the 'up to 50 at once' batch context, but that mostly mirrors the schema's maxItems. It does not explain universe ID formats or how to obtain them, though the parameter is simple enough.

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 clearly names the resource ('public storefront stats') and the action ('get'), and enumerates specific output fields. It also differentiates from sibling tools by emphasizing batch lookup of up to 50 universes and public accessibility.

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 intended use cases: benchmarking competitors or shortlisting your own experiences for deeper analysis. It does not explicitly name alternative tools to avoid, but the context around public, no-key, batch stats makes when-to-use reasonably clear.

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