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

With no annotations, the description carries the full behavioral burden, and it does add one genuinely useful non-obvious note: the returned content is user-generated and should be treated as untrusted input. It still omits ordering, pagination behavior, auth requirements, and rate limits, so it is only partially transparent.

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, both front-loaded and free of filler. The core purpose comes first and the safety caveat follows, with no redundant restatement of the tool name or schema.

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 two-parameter read tool with no output schema, the description covers purpose and a security caveat adequately. But with zero annotation coverage it could reasonably disclose ordering, pagination, or result count behavior, so it is only minimally 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 both parameters (user_id and limit with its 1-100 range) are already fully documented in the schema. The description adds no syntax, format, or semantics beyond what the schema provides, so the baseline of 3 applies.

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 ('Get TikTok comments made by specific user'), which is enough to distinguish it from search_tt_comments and get_tt_comment_by_id. However, it does not explicitly differentiate itself from the near-twin sibling get_comments_by_user, so the agent must infer the platform difference from the name alone.

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?

There is no guidance on when to use this tool versus the obvious alternatives (search_tt_comments for query-based lookup, get_tt_comment_by_id for single comments, or get_comments_by_user for the other platform). The description states what it does but never frames the selection context, leaving the agent to infer it.

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