get_daily_cardiovascular_age

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

With no annotations, the description carries the full burden, but it does disclose that the operation is a read and describes the returned content (vascular age estimates). It omits pagination behavior despite a next_token parameter, and says nothing about auth, rate limits, or default date windows.

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?

Two compact sentences with the core purpose front-loaded and no filler. The second sentence is mildly redundant with the first but does add the nature of the return 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?

A read tool with no annotations, no output schema, and three entirely undocumented parameters leaves meaningful gaps: how the date range defaults, how next_token pagination works, and what fields the vascular age estimate contains. The description is too thin for the parameter surface.

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% for three parameters (start_date, end_date, next_token), and the description adds no meaning for any of them—no date format, default range, or pagination semantics. The description does not compensate for the schema gap.

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?

States a specific verb ('Get') and resource ('daily cardiovascular age data') and clarifies that it returns vascular age estimates from physiological measurements. The 'daily' framing implicitly separates it from the singular get_daily_cardiovascular_age_by_id sibling, though it does not name that sibling explicitly.

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 on when to use this tool versus get_daily_cardiovascular_age_by_id, get_vo2_max, or other daily health metrics, and no stated prerequisites or date-range context. The agent must infer usage entirely from the name.

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