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ideal_weight_calc

Calculate ideal body weight using Devine, Robinson, Miller, or Hamwi formulas based on your weight, height, age, and sex.

Instructions

Calculate ideal body weight using multiple formulas.

Parameters:
    weight — Actual weight in kg.
    height — Height in cm.
    age — Age in years.
    sex — 'male' (default) or 'female'.
    method — 'devine' (default), 'robinson', 'miller', or 'hamwi'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
weightYes
heightYes
ageYes
sexNomale
methodNodevine

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description bears full responsibility. It only lists parameters without explaining how the formulas differ, expected output, or any behavioral nuances (e.g., rounding, units). The presence of an output schema is not referenced.

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

Conciseness4/5

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

The description is concise and well-structured, with a clear one-line summary followed by a bullet-like parameter list. It avoids unnecessary words and is easy to scan.

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

Completeness4/5

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

Given the existence of an output schema (which reduces the need to describe returns), the description adequately covers the input parameters and their options. It is complete for a simple calculation tool.

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

Parameters4/5

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

Schema description coverage is 0%, but the description compensates by listing all parameters with their meanings, defaults, and allowed values for 'sex' and 'method'. This provides critical context beyond the schema's basic type information.

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

Purpose4/5

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

Description clearly states the tool's function ('Calculate ideal body weight using multiple formulas') with specific verb and resource. It distinguishes itself from sibling tools by focusing on ideal weight formulas, though not explicitly differentiating from similar health calculators.

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

Usage Guidelines2/5

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

No guidance on when to use this specific ideal weight formula calculator versus other related tools like bmi_calc or body_fat_calc. The description does not mention prerequisites or scenarios for use.

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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