get_best_time_to_post

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

The description mentions output details (day-by-day recommendations and reasoning), which offers some behavioral insight beyond a simple 'get'. However, with no annotations provided, it lacks disclosure on authentication, rate limits, or whether the operation is read-only, leaving the agent with minimal safety cues.

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?

Single sentence, front-loaded with verb and resource, no wasted words. Every part of the description adds value to the agent's understanding.

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 simple tool with one parameter and no output schema, the description covers the main purpose and output structure (recommendations with reasoning). It lacks detail on the exact format of recommendations or any prerequisites, but it is largely complete for basic selection.

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% for the single parameter 'country', which already defines the enum and purpose. The description adds no new semantic information for the parameter beyond restating its role, so it meets the baseline for high coverage without adding value.

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 'Get the best times to post on TikTok for a specific country' with specific verb and resource, and adds 'day-by-day recommendations and reasoning', making it distinct from sibling tools like engagement rate, RPM, fonts, downloads, hooks, hashtags, keyword research, and trends.

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 implies the tool is for determining optimal posting times per country but provides no explicit guidance on when to use versus alternatives or when not to use it. With siblings like 'get_tiktok_trends_by_country', more contextual differentiation would be helpful.

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