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Rental Housing Finance Tool

rental_housing_tool
Read-onlyIdempotent

Fetch U.S. rental housing finance data from the RHFS, filtered by property size, year, and data group such as expenses or mortgages.

Instructions

Retrieve rental housing finance data from the Rental Housing Finance Survey (RHFS). Get financial, mortgage, and property characteristics of rental housing properties in the United States. Data includes property configuration, expenses, ownership and management, income and subsidies, finances and mortgage, and capital improvements. Filter by property size (1 unit, 2-4 units, 5-24 units, etc.). National-level data only. Available for years 2015, 2018, and 2021.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNoYear for rental housing data. Available years: 2015, 2018, 2021. Default: 2021.2021
groupYesData group to retrieve. RHFS_PC: Property Configuration, RHFS_EX: Expenses, RHFS_OM: Ownership and Management, RHFS_IS: Income and Subsidies, RHFS_FM: Finances and Mortgage, RHFS_CI: Capital Improvements and Expenses.
propertySizeNoFilter by property size. 0: All properties (default), 1: 1 unit, 2: 2-4 units, 3: 5-24 units, 4: 25-49 units, 5: 50+ units. If not specified, returns all property sizes.
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the agent knows this is a safe read operation. The description adds useful context: 'National-level data only' and available years (2015, 2018, 2021), which are not in annotations. No contradictions with annotations.

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 that efficiently convey the tool's purpose and key details (data types, filters, years, geographic scope). No superfluous text; every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the schema covers all parameters and annotations indicate safety, the description is complete for an agent to understand the tool's scope. It covers national-level, years, data categories, and property size filters. The absence of output schema is compensated by listing what data is included. Slight gap: no mention of return format or limits, but acceptable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with good descriptions for each parameter. The description recaps the filter options (e.g., '1 unit, 2-4 units, etc.') and data groups, but adds little semantic value beyond the schema. Baseline of 3 is appropriate.

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 explicitly states this tool retrieves rental housing finance data from the RHFS survey. It lists specific data categories (property configuration, expenses, etc.) and filters (year, property size), making the purpose clear and distinct from sibling tools which cover other surveys (ACS, business, etc.).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide explicit guidance on when to use this tool versus alternatives. It only describes the tool's functionality without stating when to prefer it or when not to use it. Sibling tools cover different domains, but no direct comparison is given.

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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