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Lohnsteuer-Anmeldung: Anmeldungszeitraum und Fristen

hr_lohnsteuer_anmeldung
Read-onlyIdempotent

Nur Deutschland. Lohnsteuer-Anmeldungszeitraum nach § 41a EStG an einem Stichtag ab 2015: Grenzen der abzuführenden Lohnsteuer des Vorjahres für Jahres- und Quartalsanmeldung, Abgabe und Zahlung am zehnten Tag nach Ablauf des Zeitraums, Schonfrist … English: Limits for monthly, quarterly and annual wage tax returns, filing day and payment grace period since 2015.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datumNoStichtag im Format JJJJ-MM-TT. Ohne Angabe gilt der heutige Tag.
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

A3.6/5.0
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 the safety profile. The description adds contextual constraints (Germany, since 2015) and legal basis, but does not disclose any additional behavioral traits like rate limits, auth requirements, or side effects. This aligns with annotations; no contradiction.

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 concise but includes both German and English text with an ellipsis, making it slightly longer than necessary. It is front-loaded with 'Nur Deutschland' and the legal reference, but the dual-language redundancy reduces efficiency.

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 read-only, informational tool with no output schema and fully documented parameters, the description is fairly complete. It states the legal basis, scope, and key concepts, which is sufficient for an agent to understand what it returns. The only minor gap is a lack of explicit mention of the output format, but that is not required given the absence of an output schema.

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%, and the description does not significantly expand parameter meaning. It mentions concepts like 'Grenzen' and 'Schonfrist' that map to enum values, but this is redundant with the schema. The baseline 3 applies because the schema carries the full documentation.

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 purpose: it provides German wage tax (Lohnsteuer) filing periods and deadlines according to § 41a EStG, with specific scope (since 2015) and topics (limits for monthly/quarterly/annual returns, filing day, grace period). This is specific and distinguishes it from sibling tools like hr_arbeitstage or hr_mindestlohn, which cover different HR topics.

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?

The description provides context (only Germany, since 2015) but does not explicitly state when to use this tool versus alternatives or when not to use it. It implies usage through the distinct topic, but there is no direct guidance on selection or exclusions.

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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