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Beneficial owners (UBO)

get_beneficial_owners

Declared beneficial owners of a Lithuanian legal entity, with ownership percentages and control basis. Served under the legitimate-interest regime; a purpose is required and is logged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesLithuanian legal-entity code (juridinio asmens kodas).
purposeYesPurpose of processing; logged per call. Required for beneficial-owner data.
interpretNoSet true to add the standardized legal interpretation of the answer: what the data means under Lithuanian law, with statute citations. Adds the interpretation fee to the call.

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses the legitimate-interest regime and that purpose is logged, adding behavioral context. However, it does not mention the output format, potential fees (such as the interpret parameter), or error conditions, leaving significant gaps.

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 two sentences and front-loads the key resource and output details. It could be phrased more directly (e.g., starting with 'Returns...'), but it avoids fluff and is efficiently structured.

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 absence of an output schema and annotations, the description reasonably covers the resource, key output fields, and legal regime. The parameters are fully documented in the schema, so the description need not repeat them. However, some behavioral details (fees, response format) are absent, preventing a 5.

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%, so the baseline is 3. The description's mention that 'a purpose is required and is logged' mirrors the schema's existing parameter description, adding no new semantic value. The interpret parameter is not mentioned in the description, but the schema fully documents it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the resource (beneficial owners of a Lithuanian legal entity) and the key output fields (ownership percentages, control basis), distinguishing it from siblings like court cases or real estate. However, it lacks an explicit action verb like 'Get' or 'List,' relying on the noun phrase 'Declared beneficial owners.'

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

Usage Guidelines3/5

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

The description states that the tool operates under the legitimate-interest regime and requires a purpose, which implies when use is appropriate. It does not explicitly name alternatives or state when not to use this tool, leaving the boundary with get_participants or lookup_company unclear.

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

A3.7/5.0
Disambiguation5/5

Each tool targets a distinct resource or action: company profile, beneficial owners, participants, real estate, seizures, court cases, KYC creation/status, and a composite report. The only overlap is get_due_diligence_report aggregating other endpoints, but it is clearly presented as a bundled convenience, not a duplicate.

Naming Consistency4/5

Most tools follow the verb_noun pattern with get_* prefixes. The exceptions are create_kyc_package (action verb) and lookup_company (different verb), but these are minor deviations in an otherwise consistent set. Overall the naming is predictable and readable.

Tool Count5/5

Nine tools is well-scoped for a due diligence server covering entity data, legal records, and KYC workflows. Each tool serves a clear purpose without unnecessary bloat or excessive granularity.

Completeness4/5

The set covers core due diligence areas: company profile, ownership, participants, property, seizures, court cases, and KYC. Minor gaps exist such as financial statements or sanctions screening, but for the stated Lithuanian entity focus the surface is fairly complete. The KYC lifecycle includes create and get, which is sufficient for an async process.

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