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Quellenkontor HR-Daten

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Mindestausbildungsvergütung

hr_mindestausbildungsverguetung
Read-onlyIdempotent

Nur Deutschland. Gesetzliche Mindestvergütung für Auszubildende nach § 17 BBiG in Euro im Monat für das 1. bis 4. Ausbildungsjahr, abhängig vom Jahr des Ausbildungsbeginns (ab 2020). English: Statutory minimum pay for apprentices (Mindestausbildungsvergütung) per training year, by start of training since 2020.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
beginnNoBeginn der Ausbildung im Format JJJJ-MM-TT, ab 2020-01-01. Ohne Angabe gilt der heutige Tag; für das 2. bis 4. Ausbildungsjahr Pflicht.
bestandteilNoNur diesen Bestandteil liefern und zitieren, etwa für eine einzelne Frage (optional). Erlaubt sind die ids der Bestandteile.
ausbildungsjahrNoAusbildungsjahr 1 bis 4. Ohne Angabe kommen alle vier Beträge. Ab dem 2. Jahr nur zusammen mit beginn.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / beginn / pattern
      Removed value: -"^\\d{4}-\\d{2}-\\d{2}$"
    • changedOutput schema / (root)
      Previous value: -{
-  "additionalProperties": true,
-  "properties": {
-    "ausbildungsjahr": {
-      "description": "Gefragtes Ausbildungsjahr (Ganzzahl oder null)"
-    },
-    "beginn": {
-      "description": "Beginn der Ausbildung (Datum)"
-    },
-    "bestandteile": {
-      "description": "Je Ausbildungsjahr Betrag, Rechtsgrundlage und Quelle (Liste)"
-    },
-    "datensatz": {
-      "description": "Kennung des Datensatzes (Text)"
-    },
-    "datenstand": {
-      "description": "Kennung des Datenstands: Datum und laufende Nummer der letzten Änderung im Änderungsprotokoll (/v1/aenderungen), die diesen Datensatz betrifft. Gleicher Datenstand heißt unveränderter Inhalt, praktisch für Prüfer und zum Vergleich zweier Abfragen (Text)"
-    },
-    "hinweise": {
-      "description": "Grenzen der Werte oder der Berechnung, in Sätzen (Liste)"
-    },
-    "lizenz": {
-      "description": "Nutzungsbedingungen der Werte (Text)"
-    },
-    "mindestverguetung_monat": {
-      "description": "Mindestvergütung je Monat im gefragten Jahr (Dezimal oder null)"
-    },
-    "regeln": {
-      "description": "Regeln aus § 17 BBiG (Liste)"
-    },
-    "stand": {
-      "description": "Tag der letzten Prüfung gegen die Quelle (Datum)"
-    },
-    "vorlaeufig": {
-      "description": "true, wenn für den Stichtag noch nicht alle Werte festgelegt sind (Boolesch)"
-    },
-    "werte": {
-      "additionalProperties": true,
-      "description": "Kurzform: Bestandteil und Wert am Stichtag, null solange ein angekündigter Wert fehlt",
-      "properties": {
-        "ausbildungsjahr_1": {
-          "description": "Mindestvergütung im ersten Ausbildungsjahr, Euro im Monat",
-          "type": [
-            "number",
-            "null"
-          ]
-        },
-        "ausbildungsjahr_2": {
-          "description": "Mindestvergütung im zweiten Ausbildungsjahr, Euro im Monat",
-          "type": [
-            "number",
-            "null"
-          ]
-        },
-        "ausbildungsjahr_3": {
-          "description": "Mindestvergütung im dritten Ausbildungsjahr, Euro im Monat",
-          "type": [
-            "number",
-            "null"
-          ]
-        },
-        "ausbildungsjahr_4": {
-          "description": "Mindestvergütung im vierten Ausbildungsjahr, Euro im Monat",
-          "type": [
-            "number",
-            "null"
-          ]
-        }
-      },
-      "type": "object"
-    },
-    "zitat": {
-      "description": "Fertiger Satz mit Wert, Gültigkeit, Rechtsgrundlage und Quelle zum Zitieren (Text)"
-    }
-  },
-  "type": "object"
-}New value: +null
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds behavioral context by specifying the legal basis (§17 BBiG), the time period (since 2020), and that amounts are in euros per month. It does not contradict annotations and provides useful context beyond what annotations convey.

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 compact, two sentences (German and English), and front-loaded with the core purpose and scope. It avoids unnecessary detail and is easy to parse quickly, with no wasted words.

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 lookup tool with no required parameters and no output schema, the description is complete enough. It states the output is the statutory pay per training year and the dependency on start year. The schema covers parameter semantics, and annotations cover safety. Minor gaps like explicit mention that all four years are returned by default are implied by the 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 description coverage is 100%, with each parameter already documented in the schema. The description adds no additional meaning beyond restating the dependency on start year, which is also in the schema. Thus it meets the baseline of 3 but does not exceed it.

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 provides the statutory minimum pay for apprentices (Mindestausbildungsvergütung) per training year, based on §17 BBiG, for Germany since 2020. It specifies the resource (apprentice pay), the action (provides amounts), and the scope (per year, by start year), distinguishing it from general minimum wage tools like hr_mindestlohn.

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 gives clear context (Germany, apprentices, start year) but does not explicitly state when to use this tool versus alternatives like hr_mindestlohn. It mentions 'Nur Deutschland' as a constraint but does not provide exclusions or alternative guidance, leaving the choice to inference.

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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