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UHQ-Actual
by UHQ-Actual

List DOL Foreign Labor Disclosure Fields

foreign_labor_fields

Read field names from official DOL foreign-labor disclosure XLSX files, filtered by visa program, fiscal year, employer, and other criteria.

Instructions

Read field names from an official DOL foreign-labor disclosure XLSX file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
socCodeNoSOC code prefix filter.
jobTitleNoCase-insensitive job-title substring filter.
maxItemsNoMaximum matching records to return. Use 0 for no cap.
localFileNoOptional path to an already-downloaded official disclosure XLSX file.
caseStatusNoCase status, such as Certified, Denied, Withdrawn, or Certified - Withdrawn.
fiscalYearNoDOL fiscal year, 2020 through 2030.
visaProgramNoForeign labor program: LCA, PERM, H-2A, H-2B, or CW.
employerNameNoCase-insensitive employer legal-name substring filter.
fiscalQuarterNoFiscal quarter: Q1, Q2, Q3, or Q4.
minAnnualWageNoMinimum offered wage after annualization.
worksiteStateNoTwo-letter worksite state code.
Behavior2/5

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

With no annotations provided, the description carries the full burden. It only says 'read', implying non-destructive operation, but discloses no details about performance, data freshness, or potential limitations.

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 a single, clear sentence with no unnecessary words. It is efficient but could benefit from a bit more detail without becoming verbose.

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

Completeness2/5

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

Given 11 parameters and no output schema, the description is too sparse. It fails to explain what the tool returns or how to interpret results, leaving the agent underinformed.

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?

All 11 parameters are documented in the input schema with 100% coverage, so baseline is 3. The description does not add any extra context about how the parameters are used together or special behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool reads field names from a DOL XLSX file. However, it does not distinguish itself from sibling tools like 'lca_disclosure_fields' which also list fields, missing an opportunity to clarify its specific scope.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, nor any prerequisites or context for invocation.

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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