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

No annotations are provided, so the description carries the burden. "Возвращает" implies a read, and mentioning that comments carry quote and context fields adds real semantic value, but nothing is said about pagination, ordering, volume, or the shape of the returned discussions despite there being no output schema.

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 with the purpose front-loaded, followed by an actionable workflow. The workflow sentence is dense but every clause maps to a real action, so there is little waste.

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?

With only two fully documented parameters and no output schema, the main remaining gap is what a returned discussion looks like beyond quote/context, and whether results are paginated. The workflow guidance is a useful bonus, but return-shape coverage is thin for an unannotated read tool.

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% and the status enum (open/resolved/all) is fully documented in the schema, so the baseline is 3. The description never mentions the status filter or page_id, adding no meaning beyond the schema.

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?

"Возвращает обсуждения сайта" states a specific verb and resource, and the follow-up workflow names the sibling tools (htmlkin_update, htmlkin_comments_reply) it feeds into. It does not explicitly contrast with htmlkin_comments_resolve, which is close in topic, so it stops short of a 5.

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 gives a concrete use case and a step-by-step route: read comments, locate quote/context in the HTML, patch with htmlkin_update, answer with htmlkin_comments_reply plus resolve: true. That is clear context and names the alternatives, but there is no explicit statement of when not to use it or how the open/resolved/all filter changes the workflow.

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