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Check Forced Labor Register Company

forced_labor_company_check
Read-onlyIdempotent

Checks a company or facility name against the MORVS U.S. Forced Labor Company Register: every organisation named on the DHS UFLPA Entity List or in a CBP withhold release order or finding, the Consolidated Screening List (Commerce, Treasury) rows that match one of those names exactly, and issuer relationships a US-listed company states in its own SEC filing. Matching is exact on the register's name key (case, accent, punctuation and legal-suffix insensitive) or on a source-stated or reviewed alias (DHS "also known as" / "formerly known as", CBP "a/k/a"); there is no fuzzy, family-name or transliteration match, and several matching entities are returned as separate candidates, never merged. Each match carries its direct records, one per source row, with the list's own action, status and date, the source URL, the row locator and the snapshot date; with include_related (default true) it also carries filing-stated issuer relationships, which never extend an action to a parent. UFLPA listing, a CBP order or finding, and an export-control or sanctions row are separate actions under separate laws, and a non-match is not a clearance finding. Organisations only; queries shaped like a personal name are not run.

Input Schema

NameRequiredDescriptionDefault
nameYesCompany or facility name or stated alias, e.g. Needle Craft Ltd or XPCC; case, punctuation and legal suffixes ignored, no partial match; 2-120 characters.
include_relatedNoInclude issuer relationships stated in SEC filings (parent or subsidiary); default true. A relationship never extends an action.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already declare a read-only, idempotent, non-destructive operation, and the description adds substantial behavioral detail beyond them: exact matching rules (case/accent/punctuation/suffix insensitive, no fuzzy or transliteration), candidate handling (separate, never merged), per-match payload (source row, action, status, date, URL, locator, snapshot date), and the scope limit that issuer relationships never extend an action.

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?

Front-loaded with the resource and its scope; every clause carries information. It is dense and semicolon-heavy, verging on overpacked, but no sentence is wasted, so it earns its length for a highly nuanced matching tool.

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?

With no output schema, the description carries the return-shape burden and does so well: it explains that each match carries direct records with action/status/date/URL/locator/snapshot date plus optional issuer relationships. Combined with the scope caveats, an agent has everything needed to call and interpret it correctly.

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 coverage is 100%, so both parameters are already documented, giving a baseline of 3. The description adds real value on matching semantics for 'name' (exact register key or stated alias, no partial/fuzzy match) and clarifies include_related's behavior at the action level rather than just restating the schema text.

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?

States a specific verb (checks) and resource (company/facility name) against a precisely named register (MORVS U.S. Forced Labor Company Register), enumerating what the register contains. It is easily distinguished from siblings like sanctions_check, screen_all, and forced_labor_source_compare because it scopes itself to the forced-labor register.

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?

Gives clear context: organisations only, personal-name queries are not run, and a non-match is not a clearance finding. However it never explicitly routes the agent to an alternative tool (e.g., sanctions_check for the broader screening) or states when this is preferred, so it stops short of naming siblings.

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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