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tresor4k

macalc

calculate_parcoursup_score

Estimate your Parcoursup weighted admission score from French baccalaureate component grades including specialities and continuous assessment.

Instructions

Estimate Parcoursup weighted score from French baccalaureate component grades. See list_bundles for related 'education' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bac_general_averageYesGeneral baccalauréat average out of 20
specialite_1_averageYesFirst speciality subject average out of 20
specialite_2_averageYesSecond speciality subject average out of 20
grand_oral_noteYesGrand Oral examination grade out of 20
controle_continu_averageYesContinuous assessment (contrôle continu) average out of 20

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.
Behavior2/5

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

No annotations provided. The description does not disclose behavioral traits such as data handling, side effects, or authorization requirements. As a calculation, it is likely read-only, but transparency is lacking.

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 sentences: first clearly states the purpose, second provides a navigation hint. No wasted words, front-loaded with key information.

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 tool is a straightforward calculator. Inputs are fully described in the schema, and an output schema exists. The description could mention the output range or weighting, but is largely complete for the tool's complexity.

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% with each parameter having a clear description (e.g., 'General baccalauréat average out of 20'). The tool description adds no extra meaning beyond the schema, so a baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool estimates a Parcoursup weighted score from French baccalaureate grades. It uses a specific verb ('estimate') and resource ('Parcoursup weighted score'), but does not differentiate from siblings like calculate_parcoursup_points.

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?

The description mentions 'See list_bundles for related education calculators', which implies an alternative for related tools but does not give explicit when-to-use or when-not-to-use guidance.

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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