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Betriebliche Altersversorgung: Höchstbeträge und Förderbetrag

hr_bav_hoechstbetraege
Read-onlyIdempotent

Nur Deutschland. Höchstbeträge der betrieblichen Altersversorgung für ein Jahr ab 2015: steuerfreier Betrag nach § 3 Nr. 63 EStG und sozialversicherungsfreier Betrag nach § 1 SvEV in Euro (berechnet aus der Beitragsbemessungsgrenze), Pauschalsteuer … English: Tax-free and contribution-free maximums for company pensions, flat tax under § 40b, the company pension subsidy and the 15 …

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jahrNoKalenderjahr. Ohne Angabe gilt das laufende Jahr.
datumNoAlternativ zu jahr: Stichtag im Format JJJJ-MM-TT, das Jahr wird daraus genommen.
bestandteilNoNur diesen Bestandteil liefern und zitieren, etwa für eine einzelne Frage (optional). Erlaubt sind die ids der Bestandteile.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety. The description adds context such as Germany-only scope and that amounts are calculated from the contribution assessment ceiling. It does not contradict annotations, and the extra context is useful but not extensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is moderately long, includes both German and English text, and is truncated with an ellipsis, which reduces clarity. It starts with the key constraint (Germany-only) but then lists many details without clear structure. It is not overly verbose, but the duplication in two languages and truncation make it less concise than ideal.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, and the description does not explain what the tool returns when no bestandteil is specified, the return format, or whether it returns all components by default. This is a significant gap for an agent that needs to interpret the tool's response 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 each parameter is already documented. The tool description adds legal references (e.g., § 3 Nr. 63 EStG, § 1 SvEV) that provide background on the values, but it does not add per-parameter semantics beyond what the schema provides. Baseline 3 is appropriate.

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 clearly identifies the tool as providing maximum amounts for company pension provision in Germany, naming specific components like tax-free and social security-free amounts under § 3 Nr. 63 EStG and § 1 SvEV. It distinguishes itself from general tax or social security tools by focusing on bAV, so an agent can tell it apart from siblings like hr_beitragssaetze.

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

Usage Guidelines2/5

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

No explicit guidance is given on when to use this tool versus alternatives. It does not mention any conditions, exclusions, or compare with sibling tools. The description only states what it returns, leaving the agent to infer usage context without clear selection criteria.

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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