get_video_analytics

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

No annotations are provided. The description only states the basic function and scope, without disclosing behavioral traits such as rate limits, data freshness, or idempotency. For a read-like operation, more context on what returns is needed.

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 two sentences long, front-loading the purpose and listing metrics, with no fluff. Every sentence adds value.

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 simple analytics tool with 5 parameters and no nested objects, the description is mostly complete. However, the absence of an output schema means the agent must infer the return format from the listed metrics. The missing output schema is a minor gap.

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% with descriptions for all parameters. The description adds value by listing sample metrics (views, watch time, etc.) and mentioning the scope, but does not significantly elaborate on parameter semantics beyond what the schema provides.

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 clearly states the tool gets analytics for a single video over a date range, listing specific metrics. This distinguishes it from siblings like get_channel_analytics (channel-level) and get_video_details (metadata).

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 mentions the required scope (yt-analytics.readonly) and implies usage for video analytics, but does not explicitly state when to use this tool versus alternatives like get_channel_analytics, nor provide exclusions or prerequisites.

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