youtube_analytics_overview

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 shows this is a read-only analytics operation, but doesn't disclose what scope of data it returns (e.g., whether it covers all time or only what's available), auth requirements, rate limits, or what the response structure looks like. For an analytics tool with zero annotation coverage, this is under-specified on behavior.

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 compact and well-organized, with a clear first sentence, metric list, and parameter doc section. No wasted words. A minor structural note is that the metric list is nice and front-loaded. Good for the size.

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?

This is a moderately simple read-only analytics tool with 2 optional parameters and no output schema. The description covers purpose and both parameters adequately for basic use. However, given the 28+ sibling analytics tools, it doesn't clarify how 'overview' differs from 'daily,' 'top_videos,' or 'content_type_breakdown' in a way that helps an agent pick correctly. For the complexity level, this is acceptable but leaves differentiation 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%, and the description does document both parameters (start_date and end_date with YYYY-MM-DD format and defaults). However, with only 0% schema coverage, the description is the sole documentation and doesn't fully compensate—e.g., it doesn't clarify what happens with null values, whether end_date must be >= start_date, or maximum allowed range. The format and defaults are helpful, but sparse.

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 it gets a channel-level analytics summary with specific metrics (views, watch time, subscriber changes, likes, comments, shares). It's clear what the tool does, though it doesn't explicitly distinguish itself from the many other youtube_analytics_* siblings (top_videos, daily, geography, etc.). The 'channel-level' and 'summary' framing helps differentiate.

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 this is for a high-level channel overview across a date range, which is a clear context. However, it doesn't explicitly state when to use this over the many other analytics siblings (daily, top_videos, demographics, etc.). No exclusions or alternatives mentioned. The overview vs. detailed distinction is only implicit.

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