get_user_demographics

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

No annotations are provided, so the description must disclose behavioral traits. It only states 'access' which implies a read operation but doesn't mention data freshness, aggregation level, or limitations. The description adds minimal transparency beyond the verb.

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?

Single sentence, no waste. However, it could be slightly more informative while remaining concise. Still, it is efficiently structured.

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?

An output schema exists, so return values are not required in the description. However, the tool has 3 parameters and no annotations; the description does not explain what 'device category' encompasses or what 'engagement' metrics are included. Context is adequate but could be richer.

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 100%, so the parameters are well-documented in the schema. The description adds the phrase 'by device category' which hints at a grouping dimension but does not explicitly link to any parameter. This provides minimal added value beyond the schema, so baseline 3 is appropriate.

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 accesses user demographics and engagement by device category, which is a specific verb+resource+dimension, distinguishing it from sibling tools like get_device_analysis or get_mobile_vs_desktop.

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?

No guidance is provided on when to use this tool versus the many sibling tools (e.g., get_device_analysis, get_mobile_vs_desktop, compare_segments). The context signals show numerous related tools, but the description offers no differentiation or usage hints.

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