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Tiwas

Firmaradar

Find Related Companies

firmaradar_find_related_companies
Read-onlyIdempotent

Discover companies linked through shared board members, shareholders, address, or ultimate owners. Use for cluster analysis, hidden-relation detection, or fraud-pattern research.

Instructions

Find companies related to the given orgnr via shared persons (board members/shareholders), shared registered address, or shared ultimate owners. Use for cluster analysis, hidden-relation detection in DD, or fraud-pattern research.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orgnrYes9-digit orgnr — the company to find relations for.
viaYes'person' = shared board members/shareholders. 'address' = same forretningsadresse. 'owner' = same ultimate beneficial owner (heavier — owner-graph traversal).
limitNo
min_overlapNoWhen via=person/owner: minimum number of shared entities to qualify.
Behavior5/5

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

Annotations declare readOnlyHint, idempotentHint, openWorldHint, making it safe. Description adds that 'via=owner is heavier' (performance hint), which is valuable beyond annotations. No contradiction.

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?

Two sentences: first states function, second lists use cases. No unnecessary words, front-loaded with core action.

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?

Covers parameters and use cases well. Lacks explicit description of output format (e.g., returns list of related companies). Since no output schema, a brief note on output would improve completeness.

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 covers 75% of parameters with descriptions. Description adds meaning to 'via' enum (e.g., 'owner' is heavier) and clarifies 'min_overlap' as minimum shared entities. Could improve by describing 'limit' better, but overall good.

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?

Clearly states 'Find companies related to the given orgnr via shared persons, address, or owners.' Differentiates from sibling tools by its specific relation-finding focus and provides concrete use cases.

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?

Explicitly mentions use cases like cluster analysis, DD, fraud research. Explains when to use each 'via' option (person, address, owner). Does not explicitly state when not to use the tool, but context is clear.

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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