Daily overview

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

Annotations already declare readOnly, idempotent, non-destructive and open-world behavior, so the safety profile is covered. The description adds that several data domains are combined into one response, which is genuinely useful context, but it says nothing about behavior with missing data (a day with no sleep or no HRV), response grouping, or why minute-level data is excluded by default — the main behavioral surprises an agent would hit.

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?

A single dense sentence with zero filler; the aggregate nature and the scope ('one day') are front-loaded before the enumeration of included metrics.

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 multi-domain aggregate with no output schema, listing the five daily-summary fields plus sleep, HRV and Body Battery effectively stands in for a return-value description. What remains unstated is how the response is structured and whether sections are omitted on days with no data — minor gaps for an otherwise self-contained definition.

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 100%: the date pattern/default-to-today and the include_series count/min/max/average fallback are fully documented in the schema. The description adds no parameter detail beyond restating the single-day scope, so baseline 3 applies.

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?

Names the resource precisely and enumerates exactly what is returned (daily summary fields, sleep, overnight HRV, Body Battery) scoped to a single day. It is clear this is a bundled per-day snapshot, but it never explicitly contrasts itself with the many siblings that return the same underlying data (get_daily_summaries, get_sleep, get_hrv, get_body_battery), so an agent has to infer the distinction.

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 phrase 'in one call' hints that this is the efficient aggregate alternative to calling the individual metric tools, but that is implication, not instruction. There is no explicit when-to-use (e.g. 'prefer this over separate get_sleep/get_hrv calls for a single day') and no when-not-to-use, even though nine siblings cover overlapping data.

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