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Hug0x0

mcp-reunion

reunion_list_land_potential

Retrieve cadastral parcels with development potential in La Réunion by filtering on commune, quartier, or zoning code, returning area and location data for urban planning.

Instructions

List "potentiel foncier" parcels in La Réunion — identified land reserves with potential for urbanization or development under current planning documents. Each row is one cadastral parcel with measured area, location attributes, and PLU zone. Returns RP number, area in m², INSEE, quartier, ZPU code, espacesar, label, cadastral section, parcelle, particulars. Sorted by area descending. Useful for SCOT / PLU work, real-estate development scouting, urban-strategy planning.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inseeNoExact INSEE commune code (5 digits)
quartierNoQuartier name prefix match
zpuNoZPU (Zone du Plan d'Urbanisme) prefix match. Examples: "U", "AU", "A", "N"
limitNoMax parcels to return (1-200, default 50)
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It clarifies the tool lists data (read-only implied) and describes sorted output, but lacks explicit statements about safety, auth needs, or side effects.

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 two sentences plus a use-case sentence. It front-loads the purpose and is free of fluff. Every sentence serves a clear function.

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 tool has no output schema, but the description lists all return fields (RP number, area, INSEE, etc.) and explains the data (cadastral parcels, sorted). Given the relative simplicity, it is fully complete.

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?

Schema covers 100% of parameters with descriptions. The description adds value by explaining prefix matching for quartier, giving ZPU examples, and noting default sort order, which are not in 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 lists 'potentiel foncier' parcels in La Réunion for urbanization/development. It is specific and distinct from sibling tools, which are many but not related to land potential.

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 implies usage for SCOT/PLU work and real-estate planning but does not explicitly contrast with sibling tools or state when not to use it. Guidance is implied rather than explicit.

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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