Skip to main content
Glama

Full due-diligence report

get_due_diligence_report

One call returning the whole picture: profile, participants, beneficial owners, real property, seizure acts and court cases. Cheaper than the parts bought separately. A purpose is required because the report contains beneficial-owner data.

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

A4/5.0
Behavior3/5

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

With no annotations, the description carries the burden but only partially discloses behavior. It mentions the purpose requirement and cost advantage, but does not mention the interpret fee, potential side effects, or output format. This is a moderate disclosure for a report retrieval tool.

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 three sentences, front-loaded with the core function and immediately followed by cost and requirement context. Every sentence adds value without 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?

Given the detailed parameter schema and the listed report components, the description is fairly complete for selecting this tool. It covers what the report contains and the purpose requirement, though it omits output structure details that are not covered elsewhere.

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% with descriptions for all parameters. The description adds no additional parameter details beyond the schema, confirming the baseline score of 3.

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 explicitly states the tool returns a full due-diligence report including profile, participants, beneficial owners, real property, seizure acts, and court cases. This clearly distinguishes it from sibling tools that fetch individual components, so the purpose is clear and specific.

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 implies when to use this tool by highlighting that it is cheaper than buying parts separately and that a purpose is required for beneficial-owner data. It does not explicitly name alternatives or exclusions, but the value proposition guides selection for comprehensive due-diligence needs.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources