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

The description adds a key behavioral nuance: platform coverage can overlap and shares are not exclusive audience or exposure shares. This goes beyond the raw schema and helps counter a likely misinterpretation. However, with no annotations provided and no mention of output, pagination, or other behavioral traits, the disclosure is only partial.

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, no wasted words: the first states the core function, and the second front-loads an essential data-interpretation caveat. The description is both concise and structured in the most useful order.

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 covers the essential purpose and a core caveat, but with no annotations and no output schema, it leaves the agent inferring return format and how this tool differs from closely related siblings. Adequate, but not complete enough to guide fully.

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 parameters are already well documented. The description mentions date range generally but adds no extra meaning for game_id or country_code that the schema does not already provide.

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 identifies the tool as returning a game delivery-platform distribution for a date range—a specific verb and resource. It does not explicitly distinguish it from sibling tools such as get_game_platform_stats or get_game_publisher_platform_trend, but the purpose itself is unambiguous.

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 no guidance on when to use this tool versus the many sibling game-analysis tools. There is no mention of preferred conditions, prerequisites, or alternatives, leaving the agent to infer when this tool is appropriate.

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