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lzinga

US Government Open Data MCP

dol_whd_enforcement

Read-only

Search Wage and Hour Division enforcement cases to find wage theft investigations, back wages owed, and penalties assessed. Filter by state, business name, or industry.

Instructions

Search WHD (Wage and Hour Division) enforcement cases. Covers wage theft investigations: back wages owed, penalties assessed, violation counts. Laws enforced: FLSA (minimum wage/overtime), FMLA (family leave), Davis-Bacon (prevailing wage), SCA (service contracts). Data available since FY2005.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoTwo-letter state code: 'CA', 'TX', 'NY'
trade_nmNoBusiness/trade name: 'McDonald\'s', 'Subway', 'Walmart'
naics_codeNoNAICS industry code: '722511' (full-service restaurants)
sort_byNoField to sort by: 'findings_end_date' (default), 'bw_atp_amt' (back wages)
sort_orderNoSort direction (default: desc)
limitNoMax results (default 25)
offsetNoPagination offset
Behavior4/5

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

ReadOnlyHint true aligns with search description. Adds data context (since FY2005, covered laws). No contradictions.

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?

Four sentences, front-loaded with main purpose, no unnecessary words.

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?

Provides scope, laws, and data timeframe. No output schema but acceptable for search tool. Lacks pagination details but schema covers limit/offset.

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 100% with descriptions. Description adds no extra parameter info beyond schema. Baseline 3.

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?

Clearly states it searches WHD enforcement cases, lists specific types (back wages, penalties, violations) and laws (FLSA, FMLA, Davis-Bacon, SCA). Distinct from OSHA or UI tools.

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

Usage Guidelines3/5

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

Provides what it covers but no explicit when-to-use or when-not-to-use vs siblings. Implicitly clear but lacks exclusion criteria.

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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