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haksanlulz

mcp-nychousing

by haksanlulz

building_complaints

Retrieve HPD building complaints and problems by house number, street, and borough. Get open/closed counts and recent details including category, status, and dates.

Instructions

HPD complaints and problems for one building (dataset ygpa-z7cr; one row per reported problem within a complaint). Give the house number, street, and borough. Returns an open/closed count summary plus the most recent matching problems (category, status, dates). Street is matched as an uppercase substring; house number exactly. Keyless.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax detail rows to return (1-500, default 100). The status summary counts all matches.
sinceNoOnly problems received on/after this ISO date (YYYY-MM-DD).
streetYesStreet name (matched case-insensitively as a substring).
boroughYesNYC borough: Manhattan, Bronx, Brooklyn, Queens, or Staten Island (also accepts MN/BX/BK/QN/SI or 1-5).
open_onlyNoOnly complaints still open (default false).
house_numberYesBuilding house number, e.g. "1520".
Behavior3/5

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

Discloses key behavioral details like substring matching and exact match for house number, and states 'Keyless', but no annotations exist to supplement. Could mention data freshness or pagination.

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 efficient sentences, front-loaded with purpose and output, no fluff.

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 purpose and output structure, but lacks guidance on sibling tools, error cases, or detailed output field descriptions. Adequate for a simple lookup.

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%, so description adds limited value. It reiterates required parameters and matching details, but doesn't enrich semantics beyond 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?

The description clearly identifies the tool as retrieving HPD complaints for a building, specifies the dataset, and distinguishes it from siblings like building_violations by focusing on complaints.

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?

Explicitly instructs to provide house number, street, and borough, and describes the output. Lacks explicit when-not-to-use or comparisons with siblings.

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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