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haksanlulz

mcp-fairrent

by haksanlulz

fmr_lookup

Look up HUD Fair Market Rent for a county or metro area by bedroom count using a 10-digit entity ID derived from a ZIP code.

Instructions

HUD Fair Market Rent (the rent a modest unit should cost) for an area, by bedroom count. entityid is a HUD entity id: a 10-digit county FIPS (e.g. 3600599999 for Bronx County = 36005 + 99999) or a metro CBSA code. Use zip_crosswalk then list_counties to turn a ZIP into a county entityid.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNoFMR year (e.g. '2026'); default is the latest
entityidYes10-digit county entity id (county FIPS + 99999) or metro CBSA code. Derive from a ZIP via zip_crosswalk then list_counties
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a read-only lookup but does not explicitly state that there are no side effects, rate limits, or authentication requirements. The return format is also not fully described.

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?

Two concise sentences front-load the purpose and provide essential input derivation context. No unnecessary words or repetition.

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?

Given the simple schema and no output schema, the description adequately explains input derivation but lacks details on the exact return format (e.g., structure of FMR values by bedroom count). It does not describe pagination or error handling.

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?

The schema already covers both parameters with descriptions. The description adds value by explaining the entityid format in detail with an example and clarifies the year parameter's default behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it provides HUD Fair Market Rent for an area by bedroom count. It explains the entityid format and how to derive it from a ZIP using sibling tools, but does not explicitly differentiate itself from similar tools like income_limits or affordability_check.

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?

No guidance is given on when to use this tool versus alternatives such as income_limits or affordability_check. It only describes how to prepare the entityid input, not the conditions for choosing this tool over others.

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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