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HHS-OIG LEIE Exclusion Screening

civicdataforge--leie-exclusion-screening

Use to find review candidates in the HHS-OIG LEIE by name, valid NPI, state, specialty, or exclusion type. Do not treat a candidate match as identity adjudication or use this tool for facility licensing. Starts the bound Apify Actor with the caller's APIFY_TOKEN, may consume Apify usage, waits up to 60 seconds, and returns at most 1,000 source-linked rows without changing the source list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoscreen checks people/entities and returns evidence records; filter pulls source LEIE records with provenance.screen
stateNoTwo-letter state code, for example TX.
enrichNpiNoLook up matched LEIE NPIs or a caller-supplied NPI in the official CMS registry and return explainable correlation signals. NPI status is not licensure or eligibility.
samApiKeyNoCaller-supplied SAM.gov public API key. Required only when includeSam is enabled; never returned in output.
specialtyNoSubstring match on specialty, such as NURSING, PHARMACY, or HOME HEALTH.
includeSamNoOpt in to the official GSA SAM.gov Exclusions API. Requires your own public SAM.gov API key.
maxRecordsNoCaps LEIE records returned in filter mode.
screenListNoFor screen mode. Each item: { "name": "JOHN SMITH" or "ACME HOME HEALTH", "npi": "1234567893" (optional valid test NPI), "state": "NC" (optional), "ref": "your-id" (optional) }. Name-only matches are normalized exact-name candidates, constrained by state when supplied, and require human review.
exclusionTypeNoOIG exclusion authority code, such as 1128a1 or 1128b5.
maxNpiLookupsNoCaps NPPES calls per run. Remaining rows still receive LEIE results and show that enrichment was skipped.
maxSamQueriesNoCaps SAM.gov calls per run to respect the official API's role-dependent rate limits.

TDQS

A4.4/5.0
Behavior5/5

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

The description goes well beyond the annotations, disclosing that it starts an Apify Actor with the caller's APIFY_TOKEN, may consume Apify usage, waits up to 60 seconds, returns at most 1,000 source-linked rows, and does not change the source list. These side-effect, timeout, and scope details are valuable and are not present in the annotations or schema.

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?

Three sentences with zero filler: purpose first, exclusion caveat second, and execution semantics third. Every sentence earns its place and the most important scoping information is front-loaded.

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?

Given this tool's complexity—multiple modes, external APIs, API keys, and no output schema—the description holds back some context like the screen/filter mode distinction and optional CMS/SAM enrichment. The schema fills most gaps, but without an output schema a more explicit note on return record shape would have made it fully complete.

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?

The input schema already provides rich, near-100% descriptions for every parameter including mode, screenList, samApiKey, and enrichment flags. The tool description adds only a high-level summary of searchable dimensions, which is useful but does not meaningfully increase understanding beyond what the schema already provides.

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 states a specific action ('find review candidates') and resource (HHS-OIG LEIE), and lists concrete search dimensions: name, valid NPI, state, specialty, or exclusion type. It also explicitly distinguishes the tool from identity adjudication and facility licensing, which clearly separates it from sibling tools.

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?

It tells the agent when to reach for this tool ('Use to find review candidates') and gives clear negative guidance ('Do not treat as identity adjudication or use for facility licensing'). It does not name an alternative tool for those excluded actions, so while the context is clear, the alternative path is left implicit.

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

A4.1/5.0
Disambiguation4/5

The domain-specific tools are clearly separated by record type, with explicit cross-references that reduce confusion between similar categories like Texas vs. multistate childcare or STR permits vs. Florida DBPR lodging. The main ambiguity is the broad evidence-gateway tool, which overlaps with several specialized query tools and could be selected instead of the more precise one.

Naming Consistency4/5

The domain tools follow a consistent civicdataforge-- prefix pattern, and the Apify utilities follow a get-/abort- verb pattern, making the overall set readable. Minor deviations include the awkward civicdataforge--civicdataforge-evidence-gateway duplication and the mix between noun-style domain tools and verb-style utility tools.

Tool Count5/5

With 14 tools, the set is well-scoped: ten specialized public-record query tools plus four Apify lifecycle/data-access utilities. Each tool has a distinct role, and the count is appropriate for the breadth of supported public records without feeling bloated.

Completeness4/5

The tool surface covers a broad range of public-record evidence categories and provides the necessary run, dataset, and key-value-store operations for working with results. Minor gaps include a lack of discovery tools for listing supported jurisdictions/sources and no general-purpose search across all record types, but the core evidence workflows are well covered.