get_real_estate_market

Fetch US real estate market data: median home prices, mortgage rates (30yr fixed, 15yr fixed, ARM), active inventory, days-on-market, affordability index, and regional price trends. Use this tool when: - A macro agent needs housing data to assess consumer wealth effects and inflation - A REIT inv...

Server Omni Service Node luckkyyy23/omni-service-node
Category Read
Risk class Low
Parameters 00 required

What get_real_estate_market does on Omni Service Node

AI agents call get_real_estate_market to retrieve information from Omni Service Node without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_real_estate_market needs a policy

This tool performs read-only queries of publicly available or proprietary market data. It retrieves economic indicators (housing prices, mortgage rates, inventory metrics) for analytical purposes. There are no side effects, no data modification, no code execution, no financial transactions, and no destructive operations.

From the tool's definition Tool fetches and returns real estate market data: median home prices, mortgage rates, active inventory, days-on-market, affordability index, and regional price trends.

Questions about get_real_estate_market

What does the get_real_estate_market tool do? +

Fetch US real estate market data: median home prices, mortgage rates (30yr fixed, 15yr fixed, ARM), active inventory, days-on-market, affordability index, and regional price trends. Use this tool when: - A macro agent needs housing data to assess consumer wealth effects and inflation - A REIT investment agent wants to understand regional real estate trends - You need mortgage rate data as a leading indicator for housing demand - An agent is assessing the impact of Fed rate decisions on the housing market Returns: median_sale_price, 12m_change_pct, mortgage_rate_30yr, mortgage_rate_15yr, active_inventory, months_of_supply, days_on_market, affordability_index, regional_breakdown (top 10 metros). Example: getRealEstateMarket({ region:. It is categorised as a Read tool in the Omni Service Node MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_real_estate_market? +

Register the Omni Service Node MCP server in PolicyLayer and add a rule for get_real_estate_market: 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 Omni Service Node. Nothing to install.

What risk level is get_real_estate_market? +

get_real_estate_market is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_real_estate_market? +

Yes. Add a rate_limit block to the get_real_estate_market 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.

How do I block get_real_estate_market completely? +

Set action: deny in the PolicyLayer policy for get_real_estate_market. 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.

What MCP server provides get_real_estate_market? +

get_real_estate_market is provided by the Omni Service Node MCP server (luckkyyy23/omni-service-node). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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