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CBLU2005

US Government Data

by CBLU2005

Search US building permits

search_building_permits

Search recently issued building permits from official US city data portals. Get normalized records with permit number, type, status, valuation, and contractor info for lead generation and market research.

Instructions

Search recently issued US building permits from official city open-data portals (New York City, Chicago, Los Angeles, Austin, San Francisco, New Orleans, Baton Rouge, Montgomery County MD, Norfolk VA). Returns normalized permit records: permit number, type, work description, status, issue date, address, project valuation, and contractor name/license where published. Great for construction lead generation and market research. Runs the paid Apify actor https://apify.com/cblu/us-building-permits-scraper on YOUR Apify account (requires APIFY_TOKEN; pay per result: $0.005 per permit record ($5.00 / 1,000), charged only for records actually returned).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
citiesNoCities/counties to search. Use ["all"] or omit for every supported source. Each city is queried up to maxResultsPerCity.
issuedAfterNoOnly permits issued on/after this date (YYYY-MM-DD). Recommended — keeps results fresh and runs fast.
searchQueryNoFull-text search across the source dataset, e.g. 'solar', 'pool', 'demolition', 'ADU'.
issuedBeforeNoOnly permits issued on/before this date (YYYY-MM-DD).
minValuationNoOnly permits with declared project value >= this USD amount (permits without a published valuation are excluded when set).
maxResultsPerCityNoMax permit records per selected city (1-2000, default 25). Each returned record is billed at $0.005 per permit record ($5.00 / 1,000).
permitTypeContainsNoCase-insensitive substring match on permit type / class / work type, e.g. 'electrical', 'roof', 'plumbing', 'new construction'.
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses the tool runs on the user's Apify account requiring APIFY_TOKEN, pay-per-result pricing, and returns normalized permit records. Lacks details on error handling or rate limits but is transparent about costs and external dependence.

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?

4-sentence description, well-structured: purpose, returned fields, use case, technical details and pricing. Front-loaded with core purpose. The last sentence is dense with pricing details but remains understandable. Efficient for the information conveyed.

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?

Covers purpose, supported cities, return fields, cost model, and authentication requirement. Lacks explanation of error handling if APIFY_TOKEN missing, and output structure is not described (no output schema). For 7 optional parameters and paid actor, the main gaps are minor.

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 already has descriptions for all 7 parameters (100% coverage). The description adds value by explaining the use case (lead generation) and cost implications (e.g., maxResultsPerCity billable). Also adds recommended usage hint for issuedAfter. Supplements schema with decision-relevant context.

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 the tool searches US building permits from specific cities, specifies normalized fields returned, and distinguishes from sibling tools which cover federal contracts and healthcare providers.

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?

Provides context for construction lead generation and market research, and mentions the paid Apify actor with pricing. Does not explicitly state when not to use or compare to alternatives, but sibling tools are clearly different.

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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