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business.entity-screen

Screen US businesses against OFAC sanctions and state registries for AML compliance. Returns matched entities with confidence scores and flagged status.

Instructions

KYC in one call: look up a business in a US state registry (NY/CO/CT) AND screen it + its registered agent against OFAC sanctions. Returns matched entities each with a sanctions screen (confidence + flagged). Counterparty due-diligence, AML. Probabilistic name match.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
limitNo
stateYes
entityIdNo
thresholdNo
Behavior3/5

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

No annotations provided, so the description must fully disclose behavior. It states it returns matched entities with sanctions screen (confidence + flagged) and mentions probabilistic name match, but does not cover rate limits, authentication needs, or data freshness.

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?

Two sentences, front-loaded with the key action. Every sentence adds value with no redundancy.

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?

For a tool with no output schema and 5 parameters, the description covers the main purpose and return structure (entities with sanctions results), but lacks details on parameter interactions and error handling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. However, it does not explain individual parameters like 'name', 'entityId', 'threshold', 'limit', or their usage. Only 'state' is implied from the context of US state registries.

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 verb ('look up' and 'screen'), the resource (business in US state registry plus OFAC sanctions screening), and distinguishes it from sibling tools like law.sanctions-check or business.sos-search by combining both actions in one call.

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 mentions 'Counterparty due-diligence, AML' which implies when to use it. It does not explicitly state when not to use or compare with alternatives, but the context is clear enough for an agent.

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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