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

Annotations already declare idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds genuinely non-obvious behavior: YouTube hiding is a soft hold visible only to the channel, and like/unlike is TikTok-only. It still doesn't say what happens on Instagram/Facebook or how errors surface, 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?

Two tight sentences with the core action front-loaded and platform caveats following. No filler, every clause carries information.

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 7-param mutation tool with no output schema and moderate schema coverage, the description covers the highest-risk unknowns (platform-specific postId requirement, YouTube review semantics, TikTok-only like). It omits return/error behavior and non-TikTok like behavior, but the essentials for correct invocation are present.

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 43%, so the description must compensate. It correctly explains that postId is required for TikTok hides and that liked is TikTok-only, but leaves hidden vs liked interaction, the platform enum effects on other platforms, and profileId's default unexplained (the schema covers profileId and the two id params).

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 specific verbs (hide/unhide, like/unlike) and the resource (comment), with platform scoping that separates it from siblings like delete_comment and reply_to_comment. An agent can tell what state change this performs without opening the 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?

It supplies platform-specific conditions (TikTok needs postId to hide; like is TikTok-only), which is real usage guidance. However, it never names or excludes the obvious alternatives (delete_comment, reply_to_comment), so the agent must infer when this tool is preferred over them.

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