Skip to main content
Glama

Search Real Estate Businesses (SIRENE)

search_real_estate_businesses
Read-only

Find real estate businesses near a location using the INSEE SIRENE registry.

Returns businesses within the specified radius, sorted by distance. Optionally enriches results with DVF transaction volume for each business's area (last 24 months) — useful for competitive intelligence.

REQUIRED: latitude + longitude (search center) OPTIONAL:

  • radius_m: 100–5000m (default 1000)

  • type: filter by business type (default "all")

    • "agence" — real estate agency

    • "notaire" — notary

    • "promoteur" — property developer

    • "gestionnaire" — property manager

    • "marchand" — marchand de biens

    • "courtier" — mortgage broker

    • "bailleur" — landlord / rental operator

    • "all" — all types

  • limit: 1–50 (default 20)

  • include_dvf_stats: boolean

Tip: use get_real_estate_business_details with the siren field from results to get full company info.

Example: latitude: 48.8566, longitude: 2.3522, radius_m: 500, type: "agence" → Returns agencies within 500m of Paris centre, sorted by distance

Cost: 5 credits

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoFilter by business type: agence, notaire, promoteur, gestionnaire, marchand, courtier, bailleur, allall
limitNoMaximum number of results (1–50, default 20)
latitudeYesLatitude of the search center (required)
radius_mNoSearch radius in metres (100–5000, default 1000)
longitudeYesLongitude of the search center (required)
include_dvf_statsNoEnrich each result with DVF transaction volume for its commune (last 24 months)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=true and openWorldHint=false, so the description carries the rest and delivers: results are sorted by distance, the optional DVF enrichment covers the last 24 months, and each call costs 5 credits. It does not mention pagination limits beyond 'limit' or failure behavior, keeping it below a 5.

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?

Front-loads the one-line purpose, then organizes parameters, a chaining tip, an example, and cost under clear labels. It is longer than strictly necessary but nearly every line earns its place; the enum glosses and example are the only mildly verbose stretch.

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?

With no output schema, the description compensates by explaining the return shape (businesses within radius, distance-sorted, optionally DVF-enriched) and adds cost, chaining, and a worked example. An agent has everything needed to invoke it correctly and know what comes back.

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 coverage is 100%, so baseline is 3, but the description adds genuine meaning beyond the schema: it expands each enum value with a human-readable gloss (e.g. 'notaire' — notary, 'promoteur' — property developer) and explains why include_dvf_stats matters (competitive intelligence). This is real added value the raw enum list lacks.

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 (Find) plus resource (real estate businesses) and scope (near a location, sourced from the INSEE SIRENE registry). It also names the sibling get_real_estate_business_details as the follow-up tool, so an agent can distinguish this search tool from the detail-lookup sibling.

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?

Names an explicit alternative (get_real_estate_business_details with the siren field) and a use case (competitive intelligence via DVF enrichment), and discloses cost (5 credits). It stops short of stating when NOT to use this tool or how it compares to other search-orientated siblings like search_property_transactions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources