Skip to main content
Glama
AiAgentKarl

real-estate-data-mcp-server

get_housing_stats

Retrieve median home value, median rent, vacancy rates, and owner-occupied percentage for a US state or county using Census ACS 5-year survey data.

Instructions

Get housing statistics for a US state or county.

Returns median home value, median rent, vacancy rates, and owner-occupied percentage from the US Census ACS 5-Year survey.

Args: state: US state name or abbreviation (e.g., "California" or "CA") county: Optional 3-digit FIPS county code (e.g., "073" for San Diego)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateYes
countyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided; description states data source and that county is optional, but lacks details on failure modes (e.g., missing state), auth requirements, rate limits, or side effects. Adequate but not fully transparent.

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?

Description is relatively concise, but uses a Python docstring-style argument list which could be more prose-like. Still, it's clear and front-loaded with purpose.

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?

Covers core purpose and parameters well, but lacks usage guidelines and behavioral details. Since output schema exists, return values are covered. Overall adequate but could be more 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 has 0% description coverage; description adds meaning: state can be name or abbreviation with examples, county is optional 3-digit FIPS code with example. This is helpful beyond the bare 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?

Clearly states it retrieves housing statistics for US state/county, lists specific metrics (median home value, rent, vacancy rates, owner-occupied percentage), and identifies data source (US Census ACS 5-Year survey). Distinct from siblings like compare_areas or get_cost_of_living.

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?

Implies use case for obtaining housing stats but provides no explicit guidance on when to use this tool vs siblings like compare_areas or get_area_demographics. No 'when not to use' or alternatives mentioned.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AiAgentKarl/real-estate-data-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server