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Une parcelle cadastrale francaise par sa reference

get_french_parcel
Read-onlyIdempotent

Une parcelle par son identifiant a quatorze caracteres (code INSEE, prefixe, section, numero, par exemple 94081000AB0123) : sa contenance, sa commune, et la voie la plus proche de son centre, dont le jumeau porte tout le reste. Le proprietaire n'est servi par aucune surface.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
parcel_idYesL'identifiant de la parcelle, quatorze caracteres, par exemple 94081000AB0123.

Schema Changelog

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

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so no contradiction exists. The description adds useful context about which fields are returned and explicitly excludes owner data. Yet the undefined 'twin' claim is vague and may confuse rather than clarify what behavior to expect.

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 compact and front-loaded with the input format and core outputs, achieving conciseness without padding. The second sentence is slightly cryptic, especially the twin reference, but it still covers both inclusions and exclusions in a short span.

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?

For a single-parameter tool with rich read-only annotations, the description gives the key inputs and outputs and notes the owner omission. The main gap is the unexplained 'jumeau' relationship, which leaves an agent unsure what additional data exists or where to find it, so the description is not fully self-sufficient.

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?

The schema alone already gives the parameter pattern and an example, achieving 100% coverage. The description adds semantic structure by decomposing the identifier into INSEE code, prefix, section, and number, which goes beyond the schema's raw pattern and aids correct construction of parcel_id.

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 retrieves a French cadastral parcel by its 14-character identifier and lists the returned fields (contenance, commune, closest road). This distinguishes it from siblings like get_french_building_permits or get_french_commune_facts, though the cryptic 'dont le jumeau porte tout le reste' weakens explicit differentiation.

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 implicitly tells the agent this is the surface-level parcel lookup and that a twin tool carries 'all the rest', and it explicitly notes the owner is not served. However, it never names the alternative tool or gives concrete conditions for when to prefer a sibling, leaving routing partially to inference.

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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TDQS

A4/5.0
Disambiguation5/5

Each tool accepts a distinct input type (address, commune, parcel ID, or commune for permits) and returns a specific data scope. Address facts vs commune facts differ by geographic level, and building permits is commune-level while address facts includes street-level permits. No two tools appear to do the same job.

Naming Consistency5/5

All tools follow a consistent snake_case pattern beginning with 'get_french_', followed by the entity: address_facts, commune_facts, building_permits, parcel. The only minor variation is that 'parcel' lacks a suffix like '_facts', but it still matches the get_<object> style.

Tool Count5/5

Four tools is a compact set that cleanly covers the main entities in French cadastral/urbanism data: address, commune, parcel, and permits. Each tool serves a distinct data need without superfluous additions.

Completeness4/5

The set covers the core lookup needs: address facts include parcel, zoning, risks, sales, and permits; commune facts include median prices and zoning; parcel lookup provides area and linkage to the street. Minor gaps exist: no direct per-parcel owner (explicitly unavailable), no individual permit lookup by ID, and address permits are street-level only, but these are workable via combinations.

Resources