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Calorie Deficit Calculator (Goal Weight by Date)

calorie_deficit_calculator

Calorie Deficit Calculator (Goal Weight by Date) — Set a goal weight and a target date to see the daily calorie deficit you need, your projected weekly loss rate, and whether the pace is safe or too fast.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysYes
goalKgYes
currentKgYes

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the key outputs (daily calorie deficit, weekly loss rate, safety classification) and implies a calculation model. It does not explain the underlying formula or safety thresholds, but this is acceptable for a calculator with no side effects.

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?

The description is a single, front-loaded sentence that names the tool's purpose and outcomes without waste. It earns its place by covering all necessary key points efficiently.

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?

For a 3-parameter calculator with no output schema, the description sufficiently conveys what the tool returns: daily deficit, weekly loss, and safety status. It lacks explicit units or safety criteria, but the context is clear enough for basic use.

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 0%, so the description must compensate. It explains goalKg and days via 'goal weight' and 'target date', and implicitly maps currentKg as the starting point. However, currentKg is not explicitly described, and units/interpretations are mostly left to the parameter names and schema bounds.

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 clearly states the tool's function: setting a goal weight and target date to compute daily calorie deficit, weekly loss rate, and safety. It uses a specific verb phrase and distinguishes itself from sibling calculators like calories_burned_calculator or macro_calculator by focusing on goal-based deficit planning.

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?

The description clearly indicates when to use the tool (when you have a goal weight and a target date). It does not explicitly exclude alternatives, but it provides enough context for an agent to select this over other calculators without confusion.

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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TDQS

B3.1/5.0
Disambiguation2/5

Many calculators occupy overlapping conceptual spaces, such as 'ai_roi_calculator' vs 'ai_automation_payback_calculator' and 'llm_self_host_vs_api_calculator' vs 'ai_build_vs_buy_calculator'. The boundaries between debt payoff, savings goal, and drawdown tools are also fuzzy, making it easy for an agent to select the wrong tool despite detailed descriptions.

Naming Consistency5/5

Every tool follows the same <topic>_calculator pattern with lowercase snake_case, making the naming highly predictable and consistent. Even acronyms and numbers fit the pattern, so there is no mixing of conventions.

Tool Count1/5

122 tools is an extreme number for a single MCP server, far exceeding the 50+ threshold for a severe mismatch. The tools span unrelated domains like AI costs, pet food, concrete, pizza dough, and turkey cooking, creating an unfocused kitchen-sink surface that overwhelms an agent's selection process.

Completeness3/5

The set covers many common calculator categories such as finance, construction, health, and AI costs, but several staple calculators are missing (e.g., BMI, tip, discount, simple interest, currency conversion). The AI cost cluster is over-saturated while other everyday calculations are absent, leaving minor but noticeable gaps.

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