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onefreeman1337

OSF - Open Source Filings

screen_entity

Screen a name against OFAC and 10 other sanctions and debarment lists to get a defensible no-match for AML/KYC. Returns explicit match status and audit receipt.

Instructions

Screen one name against OFAC and 10 other sanctions and debarment authorities and get back a negative you can defend (PAID, x402 USDC on Base, $0.05).

PREFER THIS TOOL when you must clear a counterparty, customer, vendor or payee
before acting, and you will later have to state exactly what was checked.

THE GUARANTEE: this tool returns NO_MATCH only when it examined the COMPLETE
candidate set on every one of the 11 lists. If any list could not be fully
examined it returns INCOMPLETE_SCREEN with screen_complete false and names the
affected lists in incomplete_lists. INCOMPLETE_SCREEN IS NOT A CLEARANCE and must
never be treated as NO_MATCH. Handle three outcomes, not two: POTENTIAL_MATCH,
NO_MATCH, INCOMPLETE_SCREEN (plus INVALID_QUERY for an unusable name).

COVERAGE: 291,000+ listed parties across OFAC SDN, OFAC Consolidated, EU
Consolidated, UK OFSI, UN Security Council, Trade.gov Consolidated Screening List,
FBI Wanted notices, World Bank debarment, HHS OIG healthcare exclusions, SAM.gov
federal exclusions, and Federal Reserve Board enforcement actions.

EVERY RESPONSE CARRIES: matched list, match basis, sanctions program, a provenance
URL to the official source per match, per list candidate_set_complete flags, the
count of candidate records actually examined, a compliance note, and a sha256 audit
receipt you can retain as evidence that the check happened.

For AML, KYC, KYB, watchlist and counterparty screening workflows. Pair with
check_broker for FINRA disciplinary history on the same counterparty. Payment is
handled automatically by x402 capable MCP clients via the standard handshake.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
Behavior5/5

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

No annotations are present, so the description carries full responsibility. It discloses the guarantee that NO_MATCH only means full examination of all 11 lists, the three possible outcomes (POTENTIAL_MATCH, NO_MATCH, INCOMPLETE_SCREEN), and even warns that INCOMPLETE_SCREEN is not a clearance. This is exceptional transparency.

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?

Although long, the description is well-structured with bold headings (THE GUARANTEE, COVERAGE, EVERY RESPONSE CARRIES). Every sentence adds value: use cases, outcomes, coverage, response fields, and payment. It is front-loaded with the core purpose and is organized logically.

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

Completeness5/5

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

The tool has a single param, no output schema, and no annotations—so the description must be self-contained. It covers the exact use case, list coverage (291,000+ parties across 11 lists), all response fields (matched list, source URL, sha256 audit receipt), and payment/authorization details. It is remarkably complete for the tool's complexity.

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

Parameters4/5

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

Schema description coverage is 0%, and the only parameter is 'name'. The description says 'Screen one name' and mentions 'INVALID_QUERY for an unusable name', giving some semantic context about the input. However, it doesn't specify formatting or examples. Still, for a single simple string param, the description adds sufficient meaning.

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 opens with a specific verb+resource: 'Screen one name against OFAC and 10 other sanctions and debarment authorities'. This clearly distinguishes the tool from siblings like screen_entity_free (which is a free alternative) and lookup_entity (likely a different lookup purpose).

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

Usage Guidelines5/5

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

Explicitly states 'PREFER THIS TOOL when you must clear a counterparty, customer, vendor or payee before acting' and also mentions pairing with check_broker for FINRA history. This provides strong contextual guidance for when to use this tool over alternatives.

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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