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haksanlulz

mcp-nychousing

by haksanlulz

landlord_portfolio

Find all buildings registered under a landlord, corporation, or agent name by searching HPD registration contacts. Resolves matched registrations to building details like address, borough, and BIN.

Instructions

The reverse of who_owns: every building currently registered with HPD under a given landlord, corporation, officer, or agent name. Searches HPD Registration Contacts (feu5-w2e2) for the name (case-insensitive substring against corporation names and person first/last names), then resolves each matched registration to its building (tesw-yqqr): address, borough, zip, BIN, registration dates, and which contact matched. Start from a name surfaced by who_owns or landlord_litigation. Landlords often hold each building in a separate LLC; officer and agent person names frequently connect buildings the LLC names hide. Reflects current HPD registration filings only. Keyless.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesOwner / corporation / officer / agent name to match, e.g. "WFHA 1520 SEDGWICK LP" or "JOHN WARREN" (case-insensitive substring against HPD registration-contact names; pass the fullest name you have, short fragments over-match).
limitNoMax buildings to return (1-500, default 50).
boroughNoOptional filter: only buildings in this borough. NYC borough: Manhattan, Bronx, Brooklyn, Queens, or Staten Island (also accepts MN/BX/BK/QN/SI or 1-5).
Behavior4/5

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

With no annotations, the description discloses case-insensitive substring matching, resolution to buildings with details, current registration only, and the 'Keyless' access. It implies a read-only query.

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?

The description is well-structured but slightly verbose. It efficiently covers purpose, process, usage, and limitations in a few sentences. Could be trimmed slightly.

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

Completeness5/5

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

Despite no output schema, the description fully explains the return values (address, borough, zip, BIN, registration dates, matched contact) and data source. Context is thorough for the tool's complexity.

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 coverage is 100%, but the description adds meaningful guidance: name is case-insensitive substring, pass fullest name to avoid over-matching, limit default 50, borough accepts multiple formats.

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 clearly states it is the reverse of who_owns, listing buildings under a landlord/corporation/officer/agent name. It specifies the data source (HPD Registration Contacts) and distinguishes from sibling tools like who_owns and landlord_litigation.

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

Usage Guidelines4/5

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

It advises starting from names surfaced by who_owns or landlord_litigation, explaining when to use this tool to uncover hidden connections. It does not explicitly state when not to use, but provides clear context.

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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