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by getvari

optimize_hydration_for_energy

Creates a time-stamped hydration schedule to combat fatigue and afternoon crashes. Considers your weight, sleep, caffeine intake, and climate to optimize energy levels throughout the day.

Instructions

Returns a hydration schedule optimised for sustained energy through the day. Considers weight, sleep duration, caffeine schedule, and climate. The output is a time-stamped schedule (mL per slot, drink type, reason). Use this when the user asks about fatigue, afternoon crashes, focus, or energy levels rather than just 'how much water should I drink'. — powered by Vari (https://getvari.app)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
climateNo
wake_timeYes
weight_kgYes
sleep_timeYes
activity_levelNo
caffeine_drinksNo
sleep_hours_last_nightNo
Behavior4/5

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

Without annotations, the description covers what the tool does and its output. It could be more explicit about being safe and read-only, but the context implies it's a computational tool with no side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences plus a trademark line, front-loaded with purpose and usage guidelines. Every sentence adds value with no verbosity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 7 parameters and 0% schema description coverage, the description provides essential context but omits key parameters. Output format is described, but missing parameter explanations reduce completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%. The description mentions only weight, sleep duration, caffeine, and climate, but fails to cover required parameters wake_time and sleep_time, as well as activity_level. Users lack full understanding of inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns a hydration schedule optimized for sustained energy, with specific considerations and output format. It distinguishes from sibling tools by explicitly targeting energy-related queries.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use this tool (fatigue, energy dips) vs. when not (basic water intake), providing clear decision support.

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

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