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building-intelligence

Get landlord record

get_landlord_record
Read-onlyIdempotent

Public record for a landlord / property owner: portfolio size, total violations, 311 complaints, average building score across the portfolio, and worst building where available. Accepts either the owner name as it appears in a building report (e.g. "SMITH REALTY LLC") or a landlord page slug. The returned url lists every building they own with per-building records.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesCity/metro: "nyc", "los-angeles", or "chicago"
slugOrNameYesOwner name or landlord slug. Building reports include the exact owner name.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesCanonical lucidrents.com page URL (UTM-tagged)
cityYes
moreYesWhat the linked page adds beyond this payload
nameYes
data_as_ofYesISO date of the data snapshot
portfolio_sizeYesNumber of buildings on record
worst_buildingNo
total_complaintsYes
total_violationsYes
avg_building_gradeNoLetter grade derived from the score ("A+" through "F", "—" when unscored)
avg_building_scoreNo
total_dob_violationsYes

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare this as read-only, idempotent, and non-destructive. The description adds useful context by stating the record is public, noting the 'worst building where available' caveat, and explaining that the returned URL lists all owned buildings with per-building records.

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 tight and front-loaded: it opens with the tool's purpose, lists the key data fields, then covers input forms and output behavior. Every sentence contributes meaningful information without repetition or fluff.

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?

For a two-parameter read-only tool with a full output schema and strong annotations, the description is sufficiently complete. It covers purpose, inputs, example identifier, and output characteristics, leaving no major gaps for an agent to select and invoke the tool correctly.

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% and property descriptions already define the parameters. The description adds a concrete example ('SMITH REALTY LLC') and clarifies the owner name should appear exactly as it does in a building report, which supplements the schema's meaning for slugOrName.

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 identifies the tool as fetching a public record for a landlord/property owner and enumerates the key data points: portfolio size, violations, 311 complaints, average building score, and worst building. This distinguishes it from sibling tools like get_building_report, which target individual buildings.

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?

The description makes clear when this tool is appropriate: when you need landlord-level portfolio data rather than a single building report. It also specifies acceptable identifier forms (owner name or landlord page slug). It does not explicitly exclude alternative tools, so it falls short of a 5.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct resource: search, building report, landlord record, neighborhood stats, and review summary. There is no overlap in purpose, and descriptions make it clear when to use each.

Naming Consistency5/5

All tools follow a consistent `verb_noun` pattern using snake_case (search_buildings, get_building_report, get_landlord_record, get_neighborhood_stats, get_review_summary). This makes the API predictable and easy to navigate.

Tool Count5/5

With 5 tools, the set is well-scoped for a building intelligence server. It covers search, detailed reports, landlord info, and neighborhood context without bloat.

Completeness5/5

The tool surface covers the core lifecycle of a user's query: search, building details (including violations, rent, and similar buildings), landlord records, neighborhood stats, and reviews. No essential operation is missing for the stated purpose.

Resources