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Shareholders and members

get_participants

Current participants (shareholders, members) of a Lithuanian legal entity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesLithuanian legal-entity code (juridinio asmens kodas).

TDQS

C2.9/5.0
Behavior2/5

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

Annotations are absent, so the description carries the full burden. It only adds the adjective 'current' to indicate a snapshot, but does not disclose whether the operation is read-only, any access requirements, rate limits, or response characteristics. This is insufficient behavioral disclosure.

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?

The description is a single, concise sentence with no redundant content. It is well-structured and easy to parse immediately.

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

Completeness2/5

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

Given the simple schema and lack of output schema, the description still feels incomplete. It does not explain what data will be returned (e.g., names, percentages), when to choose this over siblings, or any caveats. The description reads more like a label than a full tool explanation.

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?

The input schema already provides a complete description of the 'code' parameter, including a pattern and explanation. The description's mention of 'Lithuanian legal entity' essentially duplicates the schema. With 100% schema coverage, baseline 3 is appropriate.

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 states the resource (participants/shareholders/members) and scope (Lithuanian legal entity), and the tool name includes 'get' to indicate retrieval. It differentiates from sibling tools like get_beneficial_owners by specifying shareholders and members, though it is phrased as a noun phrase rather than an explicit action statement.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like get_beneficial_owners or lookup_company. The description does not mention any context, prerequisites, or exclusions.

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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