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

Beyond the annotations, the description discloses platform-specific behavior, billing implications on X, reconnect requirements for older Facebook Pages, no-hiding constraints, LinkedIn name omissions, and that comments are read live and never stored. This is unusually rich behavioral context for an agent.

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?

The purpose is front-loaded, but the description is a very long, dense sentence with many semicolon-separated platform caveats. Most details are useful, though some reply/delete/hiding capability notes may exceed the scope of a list_comments tool.

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 multi-platform comment-reading tool, the description covers ordering, replies, billing, reconnects, and platform limitations well. Without an output schema, it could say more about the returned comment structure, but it is largely 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 coverage is 67%, and the schema already explains channel_id and workspace_id. The description implies the post and account scope but does not add parameter syntax or mapping beyond what the schema provides, so the baseline of 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?

The description immediately states a specific verb and resource: it reads comments on a published post, for one account, newest first with replies. That is enough for an agent to distinguish it from reply_to_comment, delete_comment, and hide_comment.

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?

It gives concrete usage scenarios—answering questions, spotting spam, drafting replies for human approval—and details platform-specific conditions and limitations. It does not explicitly name sibling alternatives, so it falls short of the top guideline score.

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