youtube_analytics_demographics

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

With no annotations, the description carries the full burden. It discloses the data returned (age/gender breakdown) and default date ranges, but it does not mention authentication requirements, whether it applies to the authenticated channel, or any limitations on data availability. It adds some context beyond the schema but lacks richer behavioral detail.

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 succinct and well-structured. The first sentence states the purpose clearly, and the Args section is concise and information-dense. No wasted words or redundant content.

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 tool with two optional parameters and no output schema, the description is mostly complete. It explains the purpose and parameter defaults. However, it does not explicitly state that it operates on the authenticated channel's analytics or requires prior auth, which would be useful given the sibling auth tools. Still, the core functionality is clear.

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 0%, so the description fully compensates by documenting both parameters: start_date with format and default (28 days ago), end_date with format and default (today). This adds meaningful semantics that the schema lacks, making the parameters unambiguous.

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's function: 'Get audience demographics — age group and gender breakdown.' This identifies a specific resource (audience demographics) and the exact dimensions, distinguishing it from sibling analytics tools like geography or content type breakdown.

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 usage through its specificity but does not explicitly state when to use this tool versus other analytics tools. It provides parameter defaults but no exclusions or alternatives, leaving the agent to infer the appropriate context from the tool name and siblings.

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