get_best_time_to_post_x

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

No annotations are provided, so the description must cover behavioral traits. It states the output includes 'day-by-day windows and reasoning' but does not disclose any side effects, authentication requirements, rate limits, or other behaviors. The description lacks depth on what the tool does beyond its basic function.

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 two sentences long, with the purpose front-loaded. Every sentence adds valuable context: the first states the core functionality, the second provides platform-specific engagement patterns. There is no wasted text.

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 tool with only one parameter and no output schema, the description is complete enough. It explains what the tool returns (day-by-day windows and reasoning) and provides relevant context about X vs. TikTok. No additional information seems necessary.

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 input schema describes the single parameter 'country' fully (enum values and a brief description 'Country code'). The description does not add any additional meaning or usage guidance for this parameter. With schema coverage at 100%, a baseline score of 3 is appropriate.

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 states the tool's purpose: 'Get the best times to post on X (Twitter) for a country, with day-by-day windows and the reasoning behind each slot.' It uses a specific verb ('Get') and resource ('best times to post on X'), and distinguishes it from siblings by targeting platform-specific timing.

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 context for when to use the tool by noting that 'X engagement curves differ from TikTok — weighted toward morning commute, lunch, and evening news windows.' This implies it is suitable for X-specific timing decisions, but it does not explicitly mention when not to use it or list alternative sibling tools.

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