get_channel_overview

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

No annotations are provided, so the description carries the full transparency burden. It clearly indicates a read-only 'Fetches' operation and enumerates the returned data in detail. It does not mention authentication, data freshness, or rate limits, but for a zero-parameter metadata tool this is reasonably transparent.

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 with no wasted words. The first sentence front-loads the core purpose, and the second provides a concrete, useful enumeration of returned fields.

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 zero-parameter tool with an output schema, the description is largely complete: it states the scope and the full set of returned metadata. It could be slightly more complete with explicit sibling differentiation, but nothing essential to invoking the tool is missing.

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?

The tool has zero parameters, and the schema description coverage is 100% with an empty properties object. Per the rubric, this is a baseline 4. The description correctly focuses on return values rather than parameters.

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 a specific verb and resource: 'Fetches high-level metadata and lifetime statistics for your YouTube channel.' It also lists concrete returned fields, which helps distinguish it from video-level siblings. However, it does not explicitly distinguish itself from the closely related get_channel_analytics sibling, so it falls short of a 5.

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?

Usage context is implied: an agent can infer this is for channel-level summary data rather than video-level or detailed analytics. But the description provides no explicit guidance on when to choose this over get_channel_analytics or other siblings, and no exclusion criteria.

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