video_analytics

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

With no annotations provided, the description carries the disclosure burden. It usefully mentions the separate YouTube Analytics API quota and the two-to-three-day data lag. However, it does not disclose return format, pagination, authorization requirements, or how the default metrics list behaves.

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 concise and front-loaded: the first sentence states the core function and scope, and the second adds relevant operational caveats. Every sentence earns its place with no 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?

Given four parameters, no output schema, and no annotations, the description should provide more context. It covers date format, quota, and data lag, but omits metric semantics, output shape, and authentication expectations, leaving an agent with important gaps.

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%, so the description must compensate. It only clarifies the YYYY-MM-DD format for start_date and end_date. It does not explain video_id or the metrics parameter, leaving key semantics undocumented.

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 states the tool provides performance metrics for one video over a date range, clearly identifying the resource and scope. It distinguishes itself from sibling tools like channel_analytics by specifying 'one video,' though it does not explicitly name the alternative.

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?

The description implies when to use the tool: when you need performance data for a single video within a date range. It does not explicitly state when not to use it, nor does it name alternatives such as channel_analytics for channel-wide metrics.

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