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Zelta BMI for Indians

BMI check (Indian cutoffs)

bmi_check
Read-onlyIdempotent

Use this when an adult asks for their BMI or whether their weight is normal, overweight or obese, such as "BMI for 72 kg 165 cm", "am I overweight at 5 ft 6 and 70 kg", or "BMI Asian cutoff". Shows the Asian-Indian category next to the WHO one. Do not use for children or teens under 18, pregnancy, diagnosis, or treatment and medication questions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
height_cmNoHeight in centimetres
height_ftNoHeight feet part, if not using centimetres
height_inNoHeight inches part, used with height_ft
weight_kgYesBody weight in kilograms

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/idempotent/non-destructive, so safety is covered. The description adds genuinely useful behavior beyond them: the response shows the Asian-Indian category alongside the WHO one, which tells the agent what the output contains. No permissions or side effects are a concern for a pure calculation.

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?

Front-loaded with 'Use this when', followed by examples and a compact do-not-use clause; the examples earn their place by mirroring likely user phrasings. Slightly long as one run-on sentence, but no filler.

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?

With no output schema, the description usefully states that both Asian-Indian and WHO categories are shown, and it bounds eligibility (adults, non-pregnancy). Combined with the fully documented schema, an agent has what it needs to invoke it correctly.

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

Parameters3/5

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

Schema description coverage is 100%, so the four height/weight parameters are already documented with types and bounds. The description only loosely reinforces units through its example phrasings ('72 kg', '5 ft 6'), adding little beyond the schema, which makes the baseline 3 correct.

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?

The description states a specific resource (BMI) and scope (adults, weight category interpretation, Asian-Indian vs WHO cutoffs), which is enough for an agent to identify it. It does not explicitly differentiate itself from the sibling healthy_weight_range, so it falls short of the top mark.

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

Usage Guidelines4/5

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

It gives concrete triggering examples ('BMI for 72 kg 165 cm', 'am I overweight at 5 ft 6 and 70 kg') and explicit exclusions: children/teens under 18, pregnancy, diagnosis, treatment and medication questions. The only gap is that no alternative tool (healthy_weight_range) is named for those cases.

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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