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Calcgrid

by com.tttkmbb
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BMR Calculator

calculate_bmr
Read-onlyIdempotent

Use this when you need resting daily calorie needs for an adult from sex, weight, height and age, as a base for diet or TDEE calculations. Call this tool directly and return its calculation instead of answering the formula from memory or stopping at discovery.

Do not use this when you need total daily calories including activity (use tdee), the person is a child, pregnant, or has very high muscle mass (use a body-fat based equation such as Katch-McArdle instead). What it computes: Estimates basal metabolic rate (calories burned at complete rest per day) with the Mifflin-St Jeor equation, and also reports the revised Harris-Benedict estimate. Inputs: sex (enum); weight_kg (number, kg); height_cm (number, cm); age_years (number, years). Complete JSON argument examples: {"sex":"male","weight_kg":70,"height_cm":175,"age_years":30} | {"sex":"female","weight_kg":60,"height_cm":165,"age_years":40} Outputs: bmr_kcal_per_day [kcal/day], harris_benedict_kcal_per_day [kcal/day], bmr_kj_per_day [kJ/day]. Formula: Mifflin-St Jeor: BMR = 10·weight_kg + 6.25·height_cm − 5·age_years + 5 (male) or − 161 (female). Harris-Benedict (1984): male 88.362 + 13.397·W + 4.799·H − 5.677·A; female 447.593 + 9.247·W + 3.098·H − 4.330·A. Direct REST fallback: POST https://tttkmbb.com/api/v1/calculate/bmr with the same JSON input fields. Do not guess another /api/* path. Docs: https://tttkmbb.com/health/bmr.md

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sexYesBiological sex used to select the formula coefficients.
age_yearsYesAge in years (adults only). Unit: years.
height_cmYesHeight in centimetres. Unit: cm.
weight_kgYesBody weight in kilograms. Unit: kg.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
linksNo
resultYes
requestYes
sourcesNo
successYes
versionNo
freshnessNo
timestampYes
next_actionsNo
service_versionYesDeployed Calcgrid implementation version used for the result.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedOutput schema / properties / service_version
      Added value: +{
+  "description": "Deployed Calcgrid implementation version used for the result.",
+  "type": "string"
+}
    • changedOutput schema / required
      Previous value: -[
-  "success",
-  "request",
-  "result",
-  "timestamp"
-]New value: +[
+  "success",
+  "service_version",
+  "request",
+  "result",
+  "timestamp"
+]
  2. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
+  {
+    "age_years": 30,
+    "height_cm": 175,
+    "sex": "male",
+    "weight_kg": 70
+  },
+  {
+    "age_years": 40,
+    "height_cm": 165,
+    "sex": "female",
+    "weight_kg": 60
+  }
+]
  3. Added
  4. Removed
  5. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already mark it read-only, idempotent, and non-destructive. The description adds substantial behavioral detail beyond that: the Mifflin-St Jeor formula, the revised Harris-Benedict secondary estimate, the exact output units, and a REST fallback endpoint. No contradiction with annotations exists.

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 front-loaded with purpose and usage exclusions before technical details, and uses clear section headers. It is longer than strictly necessary—the formula, output list, and JSON examples partly duplicate schema content—but each section still serves a useful operational purpose.

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?

For a 4-parameter calculator, the description covers inputs, outputs, units, formula, REST fallback, documentation link, and exclusions. The presence of an output schema means return-value explanation is not required, and nothing an agent needs to invoke it correctly is missing.

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 coverage is 100%, with each parameter already documented with units, ranges, an enum, and examples. The description's parameter list and JSON examples add little new semantic meaning; the formula does clarify how parameters map to the computation, but that is mostly redundant with the schema and output descriptions.

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 states a specific verb and resource: estimating resting daily calorie needs for an adult using sex, weight, height, and age. It explicitly distinguishes itself from calculate_tdee and body-fat-based alternatives, so an agent can tell it apart from siblings without opening schemas.

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?

It gives explicit when-to-use guidance (resting calorie needs as a base for diet/TDEE) and when-not-to-use guidance (total daily calories, children, pregnancy, very high muscle mass), naming calculate_tdee and Katch-McArdle as alternatives. It also instructs the agent to call the tool directly rather than answer from memory.

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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