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volsch

md24de-mcp

by volsch

get_last_available_month

Retrieve the month and year of the currently published consumption report from messdienst24.de, enabling you to check the reporting period without fetching the full report.

Instructions

Return the month and year of the most recently published consumption report.

messdienst24.de is a German utility-consumption portal that provides the legally mandated monthly heating and hot-water consumption report (Verbrauchsinformation) for residential properties. The portal publishes one report per calendar month (always a previous month, never the current one). This tool returns which month that currently published report covers.

Call this tool when you only need to know the current reporting month without fetching the full report. The full report (get_consumption_report), the PDF resource (md24de://latest-report/pdf), and the save_pdf tool all include this information as well.

Returns: year: Four-digit year of the current reporting month (e.g. 2025). month: Month number 1–12 of the current reporting month (e.g. 4 for April).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the burden. It implies a read-only operation but does not explicitly state safety or side effect absence. For a simple query tool, this is adequate but lacks explicit behavioral disclosure.

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

Conciseness4/5

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

The description is well-structured with a clear summary, context, usage guidance, and return details. It is slightly verbose with background information, but overall efficient and front-loaded.

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

Completeness5/5

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

Despite no parameters and no annotations, the description completely covers the tool's functionality. It explains the context, lists return fields with formats, and references sibling tools, making it self-contained for a simple query tool.

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?

There are no parameters, so the baseline is 4. The description adds value by detailing the return structure (year and month with formats), which goes beyond the empty schema.

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's purpose: returning the month and year of the most recently published consumption report. It uses specific verbs ('Return') and resources ('consumption report'), and distinguishes from sibling tools by noting that the full report includes this information.

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

Usage Guidelines5/5

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

The description explicitly states when to use this tool ('when you only need to know the current reporting month without fetching the full report') and mentions alternatives that contain the same information (get_consumption_report, PDF resource, save_pdf).

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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