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roster_rescreen

Re-screen an ENTIRE ROSTER of employees, contractors, and vendors against the federal exclusion & sanctions lists (HHS-OIG LEIE, OFAC SDN+Consolidated, SAM.gov debarment) in ONE call, and mint a DATED, ed25519-SIGNED COMPLIANCE RECEIPT. This is the OIG-mandated MONTHLY exclusion check for healthcare billing / RCM / compliance teams: OIG guidance says screen every employee, contractor, and vendor against the LEIE each month, because a single excluded person on a claim triggers Civil Monetary Penalties. The signed receipt is your audit artifact — verifiable offline, proving WHO you screened, against WHICH list build, on WHAT date. Returns per-entity verdicts (cleared vs. flagged) plus a verifiable receipt URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orgNoYour organization name (printed on the compliance receipt).
periodNoCompliance period as YYYY-MM (defaults to the current month).
rosterYesThe people/entities to screen. Each is a name string or {name, npi?, uei?, state?} object (max 250).

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations provided, the description carries full burden. It discloses the tool screens against specific lists (HHS-OIG LEIE, OFAC SDN+Consolidated, SAM.gov), mints a signed receipt, and returns per-entity verdicts plus a URL. It also explains the OIG guidance and legal implications. It does not mention rate limits or the max roster size (250, in schema) but is otherwise thorough.

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 moderately long but efficient. The first sentence clearly states the primary action and outcome. Subsequent sentences add regulatory context and output details. Minimal redundancy, though could be slightly trimmed without loss of meaning.

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 the complexity of the tool (roster screening with legal compliance requirements) and the absence of annotations and output schema, the description covers purpose, context, behavior, and return values adequately. It explains why the signed receipt is important. Could mention the roster size limit, but that is documented in the schema.

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% (all three parameters have descriptions). The description does not add significant meaning beyond the schema: it repeats the purpose of the 'roster' parameter implicitly but does not explain the format or constraints (like max 250) that are in the schema. Baseline 3 is appropriate.

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 uses specific verbs ('Re-screen an ENTIRE ROSTER', 'mint a ... COMPLIANCE RECEIPT') and clearly identifies the resource (employees, contractors, vendors against federal exclusion lists). It distinguishes from sibling tools by emphasizing the entire roster in one call, contrasting with likely single-entity screening (screen_exclusion, screen_batch, watch_entity).

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?

The description explicitly states the use case: 'the OIG-mandated MONTHLY exclusion check for healthcare billing / RCM / compliance teams' and explains the regulatory requirement. However, it does not explicitly say when NOT to use this tool or name alternative sibling tools for single-entity screening, though the regulatory context strongly implies the appropriate usage.

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
Disambiguation5/5

Each tool targets a distinct use case: full roster rescreen with compliance receipt, bulk screening up to 50 entities, single entity check, and continuous daily monitoring. No overlap in purpose.

Naming Consistency4/5

Three tools follow verb_noun pattern (screen_batch, screen_exclusion, watch_entity), but roster_rescreen reverses the order (noun_verb). Still, all use snake_case and are readable.

Tool Count5/5

Four tools are appropriate for the domain of exclusion screening, covering single, batch, roster-wide, and ongoing monitoring without unnecessary bloat.

Completeness4/5

Covers all primary workflows—one-off, batch, full roster, and continuous watch. Minor gap: no tool to remove entities from watchlist, but this can be handled externally.

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