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MaCalculatriceEnLigne

Calculate Water Hardness

calculate_water_hardness
Read-onlyIdempotent

Calculate water hardness in French degrees from calcium and magnesium concentrations. Returns: {thresholds}. See list_bundles for related 'cuisine' calculators.

Input Schema

NameRequiredDescriptionDefault
calcium_mg_lYes
magnesium_mg_lYes

Output 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).
sourceNoAuthoritative source for the rule or formula (e.g. "Article 197 CGI", "NF DTU 21").
formulaNoHuman-readable formula or method used (e.g. "I=P·r·t", "Magnus formula").
reference_urlNoLink to a calcul2 page documenting the calculation in detail.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety burden is lifted. The description adds the conversion unit (French degrees) and hints that output includes threshold bands, but the literal '{thresholds}' placeholder is an unfilled template, so the disclosure is only partial.

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?

Two short sentences, front-loaded with the essential verb-resource-unit. The only blemish is the raw '{thresholds}' placeholder, which reads as a broken template rather than deliberate brevity.

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

Completeness3/5

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

An output schema exists, so return values need not be described — but the description still injects a broken '{thresholds}' token that undercuts itself, and the unrelated 'cuisine' pointer adds noise. For a trivial 2-param, 0%-coverage compute tool, this is adequate but not clean.

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 0%, so the description must carry parameter meaning; it names the two inputs but adds nothing on granularity or accepted ranges beyond what the parameter names (calcium_mg_l, magnesium_mg_l) already imply. The units are only inferable from the names, not from the description text.

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?

States a specific verb and resource ('Calculate water hardness'), names the output unit ('French degrees'), and enumerates the two inputs ('calcium and magnesium concentrations'). An agent can distinguish this from the ~350 sibling calculators (e.g., water bill, water intake, pool chlorine) without opening any schema.

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

Usage Guidelines2/5

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

The only guidance is 'See list_bundles for related cuisine calculators', which is a registry cross-reference, not when-to-use/when-not-to-use for this tool. It also looks misplaced — water hardness has no obvious cuisine relationship — so it may actively mislead an agent choosing between hydration/cooking/water calculators.

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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