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

Annotations already cover idempotency, non-destructiveness, and open-world scope, but the description adds substantial context beyond them: the like is queued rather than sent, scheduled_for reports dispatch time, Growth plan is required with insufficient_plan as the failure signal, retries return the existing pending like, and post vs comment vs activity/ugcPost ids are distinct like targets. This is exactly the behavioral disclosure the structured fields cannot carry.

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?

Dense but front-loaded: purpose first, then input forms, then queueing/plan semantics, then cancel. The second sentence is a long comma-chained list that could be split, but nearly every clause conveys operational information rather than filler.

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 one parameter at 100% coverage and an output schema present, the description covers the remaining gaps an agent needs: deferred/queued execution, retry idempotency, plan gating, and the distinctness of post vs comment likes. Nothing material to a correct invocation is left unstated.

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 coverage is 100%, so the baseline is 3, but the description goes well beyond the schema by enumerating the accepted urn/url forms (activity urn, ugcPost urn, comment urn, post url, lnkd.in short link) and stating which sibling tool results supply each. That meaningfully reduces the risk of passing the wrong identifier.

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 (like) and resource (a LinkedIn post or a comment on one), immediately distinguishing the two object types it operates on. It also names the sibling cancel_like as the inverse operation, so an agent can tell what this tool does versus what undoes it without opening any schema.

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?

Gives strong sourcing context: post_urn can come from find_posts_to_comment, list_posts, find_comments_to_reply, or raw user input, and it points to cancel_like for stopping a pending like. It stops short of an explicit when-not-to-use statement (e.g., preferring get_post_like for reads), which keeps it from a 5.

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