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IDM Energiedaten

idm_get_energy_data
Read-onlyIdempotent

Retrieves energy meter readings and current power from IDM heat pumps, including cumulative heat for heating, cooling, hot water, defrost, and solar.

Instructions

Liest Energiezähler und Momentanleistungen der IDM Wärmepumpe.

Liefert: Momentanleistung, Leistungsaufnahme WP, sowie kumulierte Wärmemengen für Heizen, Kühlen, Warmwasser, Abtauung, Passive Kühlung, Solar und Elektroheizeinsatz.

Returns: str: JSON-Objekt mit Leistungs- und Energiedaten in kW / kWh.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 value by enumerating the returned quantities (Momentanleistung, Leistungsaufnahme WP, cumulative heat quantities) and specifying units kW/kWh. No contradictions with annotations.

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 concise and well-structured: a lead sentence states the action, a bullet-like list details the returned data, and a short note covers the return format. It is front-loaded with the verb and contains no unnecessary filler.

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?

For a parameterless, read-only tool with a declared output schema and helpful annotations, the description covers all relevant energy data categories and units. It is fully self-contained for selection and basic invocation, and the output schema can supply any remaining structural details.

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 tool has zero parameters, so the input schema is already complete and there is nothing for the description to clarify. Per the rubric, a zero-parameter tool gets a baseline of 4.

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 begins with the specific verb 'Liest' (reads) and identifies the resource 'Energiezähler und Momentanleistungen der IDM Wärmepumpe'. It clearly distinguishes this tool from sibling status/temperature/solar tools by focusing on energy meters and power values.

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 or when-not-to-use guidance is provided, nor are alternatives such as idm_get_temperatures or idm_get_compressor_status mentioned. The intended usage is implied by the list of energy-related data returned, but it is not stated directly.

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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