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tresor4k

macalc

calculate_dew_point

Compute dew point temperature and comfort class from temperature and relative humidity for HVAC, weather, and comfort analysis using Magnus formula.

Instructions

Compute dew point temperature using Magnus formula. Use for HVAC, weather, comfort analysis. Inputs: temperature °C, relative humidity %. Returns dew point °C and comfort class. See list_bundles for related 'astronomie-nature' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
temp_cYesTemperature °C
humidity_pctYesRelative humidity %

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoComputed result. Object whose fields depend on the tool (e.g. {tax, marginal_rate, brackets} for tax tools, {volume_l, gallons} for volume tools).
formulaNoHuman-readable formula or method used (e.g. "I=P·r·t", "Magnus formula").
sourceNoAuthoritative source for the rule or formula (e.g. "Article 197 CGI", "NF DTU 21").
reference_urlNoLink to a calcul2 page documenting the calculation in detail.
Behavior4/5

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

Given no annotations, the description discloses the Magnus formula as the computation method and specifies outputs (dew point °C and comfort class). It lacks edge-case details but adequately conveys the tool's safety (read-only calculation) and behavioral traits.

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 three sentences long, presenting all essential information (function, use cases, inputs, outputs, reference) in a front-loaded, efficient manner 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?

The description covers the essential aspects: formula, inputs, outputs, and use cases. The reference to list_bundles helps agents find related tools. However, it does not detail the comfort class output or provide exhaustive usage context given the large number of sibling tools.

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 merely restates parameter names and units already present in the schema. It adds no additional semantic meaning or usage nuance beyond the 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 states the tool computes dew point temperature using the Magnus formula, with specific applications (HVAC, weather, comfort analysis). It distinguishes itself from sibling calculators by explicitly defining its resource and scope.

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?

The description provides clear use cases (HVAC, weather, comfort analysis) and references related calculators via list_bundles. However, it does not explicitly state when not to use this tool or name alternatives, leaving room for ambiguity among many sibling tools.

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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