Generate a comprehensive neighborhood analysis focused on livability factors. This advanced analysis tool evaluates a neighborhood based on multiple livability factors, including amenities, transportation options, green spaces, and services. Results include counts and proximity scores for various...
AI agents call analyze_neighborhood to retrieve information from OpenStreetMap MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes geospatial data about neighborhoods to produce informational reports. It queries existing data sources (OpenStreetMap and related services) and synthesizes findings about amenities and services without creating, modifying, deleting, or executing any operations.
From the tool's definition Tool generates comprehensive neighborhood analysis with counts and proximity scores for amenities, transportation, green spaces, and services.
Documented attack patterns abuse exactly the kind of access analyze_neighborhood gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OpenStreetMap MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_neighborhood:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_neighborhood": {}
}
}analyze_neighborhood is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Generate a comprehensive neighborhood analysis focused on livability factors. This advanced analysis tool evaluates a neighborhood based on multiple livability factors, including amenities, transportation options, green spaces, and services. Results include counts and proximity scores for various categories, helping to assess the overall quality and convenience of a residential area. Invaluable for real estate decisions, relocation planning, and neighborhood comparisons. Args: latitude: Center point latitude (decimal degrees) longitude: Center point longitude (decimal degrees) radius: Analysis radius in meters (defaults to 1000m/1km) Returns: Comprehensive neighborhood profile including: - Overall neighborhood score - Walkability assessment - Public transportation access - Nearby amenities (shops, restaurants, services) - Green spaces and recreation - Education and healthcare facilities - Detailed counts and distance metrics for each category. It is categorised as a Read tool in the OpenStreetMap MCP Server MCP Server, which means it retrieves data without modifying state.
Register the OpenStreetMap MCP Server MCP server in PolicyLayer and add a rule for analyze_neighborhood: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches OpenStreetMap MCP Server. Nothing to install.
analyze_neighborhood is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the analyze_neighborhood rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for analyze_neighborhood. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
analyze_neighborhood is provided by the OpenStreetMap MCP Server MCP server (jagan-shanmugam/open-streetmap-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from OpenStreetMap MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
12 OpenStreetMap MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.