Skip to main content
Glama

get_owners

Read-only

Look up direct and upstream Czech VR owners for a company by real active shareholding roles (spolecnik/akcionar) and company-to-company member_ico edges. Free anonymous tool. Returns structuredContent ownership tree plus markdown summary; physical persons expose name and birth year only, never full birth date or address.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
icoYesCzech IČO — 7 or 8 digits.
max_depthNoMax company-owner recursion depth through member_ico (default 5, hard cap 5).

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description discloses important behavioral traits: it returns 'structuredContent ownership tree plus markdown summary,' and that 'physical persons expose name and birth year only, never full birth date or address.' These additions give the agent a clear picture of output format and privacy constraints, going well beyond what annotations provide.

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 concise and front-loaded: the first sentence states the primary purpose, the second notes the free/anonymous nature, and the third covers return format and privacy. Each sentence adds distinct value without unnecessary fluff, making it easy to scan quickly.

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?

Although there is no output schema, the description sufficiently explains the return format ('structuredContent ownership tree plus markdown summary') and important privacy redactions (birth year only). It also clarifies the scope ('direct and upstream') and the data source semantics, making it complete for an agent to understand what the tool does and what to expect.

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 provides full coverage of both parameters ('ico' and 'max_depth') with clear descriptions. The tool description does not add additional parameter-level semantics beyond what is in the schema; it only mentions 'member_ico edges' in the context of the tool's function, which is not a direct explanation of the parameters. Thus, the baseline of 3 is appropriate.

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 clearly states the tool's function with a specific verb ('Look up') and resource ('direct and upstream Czech VR owners'), including details on the type of ownership roles ('spolecnik/akcionar') and relationship edges ('member_ico edges'). This distinguishes it from sibling tools like get_statutory_chain or person_companies, which focus on different corporate aspects.

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 provides clear context on when to use the tool: for looking up Czech VR owners with real active shareholding roles and company-to-company member_ico edges. It also notes it is a 'Free anonymous tool,' implying no authentication is required. However, it does not explicitly name alternative tools or state when not to use this one, so it stops short of a 5.

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

A4.2/5.0
Disambiguation4/5

Most tools have clearly distinct purposes: address crowding, nominee directors, phoenix patterns, owners, statutory chains, timelines, and watch functionality are all separate. However, get_dd_report and get_risk_score overlap significantly (full report vs. just the score), and the three detect_* tools share a similar pattern but apply to different risk types.

Naming Consistency4/5

Tool names predominantly follow a verb_noun pattern (detect_, get_, watch_), but person_companies breaks this convention (noun_noun). The mix of detect_ and get_ verbs is consistent within their respective semantic groups, making the overall pattern readable.

Tool Count5/5

With 12 tools, the server is well-scoped for a due-diligence domain. Each tool addresses a distinct aspect (risk detection, reports, ownership, monitoring) without unnecessary bloat, and the count sits comfortably within the ideal range.

Completeness4/5

The server covers the core due-diligence lifecycle reasonably well: company facts, risk scoring, timeline, ownership, EU lookup, and monitoring onboarding. Minor gaps exist—watch_entity is a stub, and advanced features are explicitly deferred to a companion server (ddplus)—but these are acknowledged and don't break the primary workflows.