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nestegg-calculators

German Child Benefit (Kindergeld)

de-kindergeld
Read-onlyIdempotent

German child benefit (Kindergeld) for 2023-2026: the year's flat monthly amount per child (uniform since 2023), as monthly and annual totals.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYesYear: 2023, 2024, 2025 or 2026.
childrenNoNumber of children (default 1).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNoYear.
annualNoTotal annual.
monthlyNoTotal monthly.
childrenNoChildren.
perChildMonthlyNoMonthly amount per child.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

The annotations (readOnlyHint, idempotentHint) already establish a safe read operation, and the description adds meaningful context by explaining that the amount is a flat monthly rate per child (uniform since 2023) and that outputs include monthly and annual totals. This goes beyond the annotations without contradicting them.

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 conveys the tool's purpose and key scope without redundancy. Every word earns its place, making it highly concise and well-structured.

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 simple two-parameter calculator with a known output schema, the description is complete enough. It covers the essential input range (2023-2026), per-child applicability, and output measures (monthly and annual totals), though it does not delve into potential edge cases or output formatting details, which are handled by the schema.

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?

The schema provides descriptions for both year and children, covering 100% of parameters. The description adds value by clarifying that the benefit is per child and specifying the output structure (monthly and annual totals), which enriches the interpretation of the children parameter and the tool's behavior.

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 identifies the tool as providing German child benefit (Kindergeld) amounts for 2023-2026, specifying per-child monthly and annual totals. It distinguishes itself from sibling financial calculators by focusing on this specific benefit and noting the uniform rate since 2023.

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

Usage Guidelines3/5

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

No explicit when-to-use guidance or alternative tools are mentioned. However, the description implies its usage context by clearly naming the Kindergeld calculator and its parameters, making it distinguishable by domain. The absence of explicit exclusions or alternatives leaves room for improvement.

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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