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withings_get_body

Retrieve body composition measurements including weight, body fat, and muscle mass from your Withings account. Supports date filtering and specific metric selection.

Instructions

Get body composition measurements (weight, fat, muscle, etc.).

Returns measurements from the local cache by default. Use live=True to fetch directly from Withings API. Run withings_sync first to populate the cache.

Args: start_date: Start date as "YYYY-MM-DD", "YYYY-MM", or "30d" for relative days. Default: last 30 days. end_date: End date as "YYYY-MM-DD". Default: today. metrics: Comma-separated metric filter, e.g. "weight_kg,fat_pct". Default: all available metrics. Options: weight_kg, fat_pct, fat_mass_kg, muscle_mass_kg, hydration_kg, bone_mass_kg, heart_rate, systolic_bp, diastolic_bp, spo2_pct. live: If true, fetch from Withings API instead of cache.

Returns measurements sorted by date, one entry per measurement group. Not for sleep or activity data -- use withings_get_sleep or withings_get_activity instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateNo
end_dateNo
metricsNo
liveNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

No annotations provided, but description fully discloses behavior: returns from cache unless live=True, requires prior withings_sync, return sort order and grouping. No contradictions.

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?

Well-structured with separate sections for args and notes. First sentence gives purpose. Concise yet comprehensive, no wasted words.

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

Completeness5/5

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

Complete for a 4-parameter tool with output schema. Covers all parameter details, return format, and caching behavior. No gaps.

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

Parameters5/5

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

All 4 parameters are explained with formats, defaults, and allowed values. Metrics parameter lists all options. Schema coverage was 0%, so description compensates fully.

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?

Clearly states it gets body composition measurements (weight, fat, muscle, etc.). Distinguishes from siblings by explicitly saying 'Not for sleep or activity data -- use withings_get_sleep or withings_get_activity instead.'

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?

Explicit when to use (body composition), when not (sleep/activity), and alternatives. Also explains caching behavior and prerequisite: 'Run withings_sync first to populate the cache.'

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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