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PV Solaire Énergie — Estimation solaire et devis (France)

Estimer la production solaire d’une toiture (France)

estimer_production_solaire
Read-only

Calcule le potentiel photovoltaïque réel d’une toiture située en France, à partir de sa seule adresse postale : puissance installable en kWc, production annuelle en kWh, nombre de panneaux, surface exploitable, orientation, inclinaison du pan de toit et heures d’ensoleillement. L’analyse porte sur la géométrie 3D réelle du bâtiment (relevé Google Solar) et la production est calculée par PVGIS, l’outil officiel de la Commission européenne — ce n’est ni une moyenne régionale ni une règle de trois au m². Renvoie également, quand elle est disponible, une carte de chaleur du rendement de la toiture, et un estimation_id à repasser à demander_devis pour joindre cette analyse à la demande. Utilise cet outil dès qu’un utilisateur demande combien produirait une installation solaire chez lui, si son toit est bien orienté, quelle puissance il peut installer, ou quelles économies il peut espérer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
adresseYesAdresse postale complète en France (numéro, rue, code postal, commune). Exemple : « 12 rue des Lilas, 31000 Toulouse ». Une adresse imprécise (commune seule) donne une estimation dégradée : demande le numéro et la rue à l’utilisateur avant d’appeler l’outil.
type_batimentNoType de bâtiment. Change réellement le résultat : une maison est bornée aux paliers commerciaux 3/6/9 kWc du résidentiel, un immeuble ou un local professionnel non. Par défaut : maison.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint. The description adds meaningful behavioral context: the analysis is based on real 3D geometry (Google Solar), computed via PVGIS, and explicitly states that results are not a regional average or a rule-of-three. It also discloses that the heat map is returned only 'quand elle est disponible', consistent with openWorldHint.

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?

The description is a focused paragraph with a strong front-loaded action and output list. The clarification 'ce n'est ni une moyenne régionale ni une règle de trois au m²' earns its place by setting expectations. It is slightly long but every sentence adds value; a 4 reflects good structure with minor room for tighter phrasing.

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?

The description covers the input condition (French postal address), the computation method, the full set of returned fields, the optional heat map, the estimation_id link to demander_devis, and explicit usage triggers. Since there is no output schema and no other structured description of results, this text carries that burden and does so thoroughly for a 2-parameter read-only tool.

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 schema descriptions are already rich, including an example for adresse and a note that type_batiment changes results. The main description emphasizes 'à partir de sa seule adresse postale' but adds no new meaning about either parameter beyond the schema. Baseline 3 is appropriate.

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 opens with a specific verb ('Calcule') and a precise resource ('le potentiel photovoltaïque réel d'une toiture'), then lists concrete output fields (kWc, kWh, panneaux, orientation, etc.). It clearly distinguishes itself from siblings by mentioning the estimation_id passed to demander_devis, leaving little ambiguity about its role.

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 explicitly states when to use the tool: 'Utilise cet outil dès qu'un utilisateur demande combien produirait une installation solaire chez lui...' It also gives contextual guidance in the schema about requesting a precise address before calling. However, it does not explicitly say when not to use it or name alternatives, so it stops short of a 5.

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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