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

Annotations already carry readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds a modest behavioral detail beyond the annotations — that the result is a list and that cursor pagination applies — which is useful but does not disclose things like visibility restrictions, rate limits, or empty-result behavior.

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?

Three short sentences with the purpose front-loaded and no filler. The minor grammar issue ('a entity id' → 'an entity id') and the slight redundancy of 'Accepts a entity id' with the schema keep it from a 5, but it is otherwise tight and scannable.

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 moderate-complexity tool, the description gives the core action, key input, and return shape ('Returns a list'), while annotations and 85% schema coverage handle safety and parameter documentation. Gaps remain: it never states that entityId is the primary required input (the schema's required list only contains meta-params context and llm_model), and it does not note what fields the returned comments contain or how the result relates to profile visibility.

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 85%, above the 80% threshold, so the baseline is 3. The description reinforces that an entity id is the key input and mentions the cursor, but the schema already documents entityId ('LinkedIn person entity ID. Not a vanity handle.') and cursor, so the description adds little meaning beyond what structured data provides.

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: 'List comments authored by a LinkedIn person,' which clearly conveys what the tool does and implicitly separates it from the sibling linkedin_live_activity_comments_v2 (comments on an activity, not authored by a person). However, it does not explicitly name or contrast the sibling, 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?

No guidance is given on when to use this tool versus alternatives such as linkedin_live_activity_comments_v2 or linkedin_live_person_posts_v2. The only operational hint ('use cursor when paginated') addresses pagination mechanics, not tool selection, so an agent gets no help deciding between this and the many nearby comment/person tools.

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