Skip to main content
Glama

hvac-btu-heat-klimaanlage

taupunkt_lueften

Taupunkt der Außenluft und die Antwort auf 'darf ich jetzt lüften?'. — Dew point of the outside air and whether opening the window right now would make a basement or damp room wetter (Magnus formula, walls counted 2 °C below room temperature).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
innen_temp_cYesInnen-/Kellertemperatur in °C (Wände werden 2 °C kühler gerechnet)
aussen_temp_cYesAußentemperatur in °C
aussen_luftfeuchte_prozentYesRelative Luftfeuchte außen in % (5–100)

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the burden. It discloses the use of the Magnus formula and the assumption that walls are 2°C cooler than room temperature, giving insight into the calculation. It also hints at the output being an answer (yes/no) to the venting question.

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?

Two succinct sentences (one German, one English) pack the essential purpose, method, and key assumption without waste. Every word contributes.

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?

Given no output schema and no annotations, the description covers the core functionality, input context, and calculation method. It could be slightly more explicit about the exact return format (boolean vs. numeric), but the 'Antwort' wording implies a clear answer.

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?

Schema coverage is 100%, so the baseline is 3. The description goes beyond by explaining the relevance of the inner temperature parameter (walls counted 2°C below) and the formula used, adding meaningful context to the inputs.

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 function: computing the dew point of outside air and answering whether opening a window would make a basement or damp room wetter. It is specific and distinct from sibling tools which cover heating, cooling, and guide queries.

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

Usage Guidelines4/5

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

It implies usage when one wants to know if venting is safe for a basement/damp room. No explicit exclusions or alternatives are mentioned, but the context is clear enough for the intended scenario.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct calculation or data source: subsidies, BTU sizing, seal length, heating power, heatwave forecast, running cost, guide search/read, and dew point. No two tools have overlapping purposes, so an agent can easily select the right one.

Naming Consistency4/5

All tool names use lowercase with underscores and German terms, but the semantic pattern is slightly mixed: most follow 'topic_noun' (e.g., btu_empfehlung), while two are 'object_verb' (ratgeber_lesen, ratgeber_suche). This is a minor deviation from a fully uniform convention.

Tool Count5/5

Nine tools is well within the optimal 3-15 range for a niche advice server. Each tool addresses a specific aspect of HVAC/energy guidance, and the inclusion of guide search/read does not make the set feel bloated.

Completeness4/5

The server covers the core domain well: cooling and heating sizing, running costs, window sealing, ventilation, and heatwave data. It lacks dedicated tools for dehumidifier sizing or AC comparison, but these topics are accessible through the guide search/read tools, so agents can work around the gaps.

Resources