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

The annotations already establish that this is a read-only, closed-world operation. The description adds useful behavioral context by noting the historical play/engagement basis and heatmap output, but it omits any prerequisites, such as whether the account must be monitored, or data recency limitations.

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 front-loaded with the primary purpose and output, followed by concrete use cases. Every sentence adds value, and there is no redundant or wasted wording.

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 one-parameter read tool, the description provides the data basis, return type, and usage contexts. It does not detail heatmap granularity or account prerequisites, but this is a minor gap given the annotations and fully described schema.

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 only parameter is username, and the input schema fully documents it as the TikTok username without @. The description does not add meaning beyond the schema, but with 100% schema coverage the 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 states a specific verb and resource: finding best TikTok posting days/times based on historical play and engagement data. It also says the result is a heatmap, so the purpose is clear. However, it does not explicitly differentiate this from the sibling get_best_posting_times, leaving some ambiguity about which tool to choose.

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?

It gives clear usage contexts: when someone asks when to post on TikTok, what the best schedule is, or how to optimize posting times. It does not provide when-not conditions or explicitly name alternatives such as get_best_posting_times, so it stops short of full routing guidance.

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