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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only mentions billing per call, but does not describe what the tool does with inputs, what data is returned, whether it is read-only, or any side effects. The description is almost entirely uninformative about behavior beyond the name.

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 description is extremely short (two fragments), which is concise, but it is under-specified. Conciseness must balance with informativeness; here it sacrifices all useful content. The format is not front-loaded with key purpose because there is no purpose stated. It is not a well-structured description.

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?

Given the tool has 4 parameters, no annotations, no output schema, and no description of return values, the description is far from complete. An agent cannot determine expected inputs or outputs. The description should explain that it retrieves comments for a video, likely paginated with cursor, and might require an API key. This is completely inadequate.

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 0%, and the description provides no explanation of parameters. The schema itself has basic types and examples (gl, hl, id, cursor) but no titles for gl and hl, and no description of what each parameter means or how they interact. The tool description does not compensate at all, leaving parameters ambiguous.

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 is minimal: 'Video Comments Group: Video. Billing per call: 1 Credits.' It mentions 'Video' group and billing, but does not explicitly state the action (e.g., 'Retrieve comments for a video'). The tool name 'get_v1_video_comments' implies fetching comments, but the description does not clearly articulate the resource or the result. It is vague and not differentiated from sibling tools like get_v1_community_post_comments or get_v1_video_details.

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?

There is no guidance on when to use this tool versus alternatives. The description provides no context about use cases, prerequisites, or exclusions. It only mentions billing and group, which is not usage guidance. The agent is left to infer from the name alone.

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