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

Annotations already declare readOnly, idempotent, and non-open-world, so safety is covered. The description adds real value beyond that: the filtering rules, the fact that each post costs one upstream call, and the returned identifiers (comment_urn, post_urn). It stops short of detailing pagination or error behavior, so not a 5.

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 front-loaded sentences with zero waste: what it returns, why comments are filtered, and the call-cost constraint plus the alternative input source. Each sentence earns its place.

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?

Output schema exists, so return values need not be explained, and annotations carry the safety profile. The description covers the remaining agent-relevant concerns: filtering semantics, batching guidance, and the upstream tool to source post_urns. Nothing needed to call it correctly is missing.

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 all four parameters are already documented, including the url/Enterprise constraint and the 1-10 post_ids limit. The description reinforces the post_urns semantics and batching but adds no syntax or format detail beyond the schema; baseline 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?

States a specific verb and resource (find comments on LinkedIn posts) plus a precise scope: only comments still worth a reply. The filtering criteria (already answered, wrote themselves, or hid) sharply distinguish this from siblings like find_posts_to_comment and list_comment_feeds.

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?

Explicitly routes the agent: use post_urns from find_posts_to_comment, and ask for a handful of posts at a time rather than a whole page. It names the source of inputs and the operational constraint that drives batching, leaving little to inference.

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