calc_bmi
Calculate Body Mass Index from weight (kg) and height (cm) to assess body weight category.
Instructions
Calculate Body Mass Index (BMI).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| weight_kg | Yes | ||
| height_cm | Yes |
Calculate Body Mass Index from weight (kg) and height (cm) to assess body weight category.
Calculate Body Mass Index (BMI).
| Name | Required | Description | Default |
|---|---|---|---|
| weight_kg | Yes | ||
| height_cm | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must bear the burden of behavioral disclosure. It fails to mention any behavioral traits such as input validation, expected output format, or limitations (e.g., BMI only valid for adults). For a health metric, this opacity is a significant gap.
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?
The description is a single, clear sentence with no extraneous information. It is appropriately sized for the tool's simplicity.
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?
Given the tool's simplicity (two numeric inputs, no output schema), the description is minimally adequate. However, it lacks any mention of return value (e.g., numeric BMI) or typical interpretation (e.g., BMI categories). For a health calculation, additional context would improve completeness.
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%, meaning the schema provides no parameter descriptions. The tool description does not add meaning beyond parameter names (weight_kg, height_cm). It does not specify units or formatting, leaving ambiguity about input expectations.
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?
The description 'Calculate Body Mass Index (BMI)' clearly states a specific verb ('Calculate') and resource ('BMI'), and it distinguishes from sibling calc_* tools like calc_compound_interest or calc_mortgage, which are different calculations.
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 description provides no guidance on when to use this tool vs alternatives, no prerequisites (e.g., valid weight/height ranges), and no exclusions. The agent is left without context for appropriate usage.
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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