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CivicDataForge Government Evidence

Norway Company & Supplier Evidence

civicdataforge--norway-company-evidence

Use for exact nine-digit Norwegian organisation-number evidence or bounded company-name research from Brønnøysundregistrene. NLOD 2.0 permits commercial reuse with attribution and change disclosure, but buyer-specific privacy and lawful-basis review may still be required for personal-data-bearing records; this Actor omits roles, contacts, and street address lines and never issues a KYC, procurement, sanctions, or eligibility verdict. Starts the bound Apify Actor with the caller's APIFY_TOKEN, may consume Apify usage, waits up to 60 seconds, and returns at most 1,000 source-linked rows without modifying government records.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queriesYesOne to 25 evidence queries. Prefer the exact nine-digit organisation number. A supplied name alongside an organisation number is returned as a consistency check, never as a replacement identifier.
maxRecordsNoName searches request one additional record internally so truncation is detected and disclosed.
batchReferenceNoOptional non-sensitive batch reference bound into the shared batch receipt.

TDQS

A4.1/5.0
Behavior5/5

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

The description discloses significant runtime behavior beyond the annotations: it starts a bound Apify Actor with the caller's APIFY_TOKEN, may consume Apify usage, waits up to 60 seconds, returns at most 1,000 source-linked rows, omits roles/contacts/street addresses, and modifies no government records. This is consistent with the annotations; openWorldHint=true and readOnlyHint=false align with the external Actor execution.

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 three sentences and front-loads the core purpose, followed by licensing/privacy context and then behavioral constraints. Each sentence adds distinct value with no redundancy, though it is slightly dense.

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?

For a tool that launches an external Actor and consumes usage, it covers the important contextual details: caller token, cost implication, timeout, row cap, no record modification, and a privacy caveat. It lacks an explicit output schema, but the description's 'source-linked rows' and omitted-field list give an agent adequate expectations for selecting and calling it.

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 description coverage is 100% and the nested parameter descriptions are already rich, covering purpose enums, receipt hashes, truncation detection, and name-search ambiguity. The description's 'exact nine-digit' and 'bounded' phrasing largely mirrors what the schema already states, so it adds little new parameter-level meaning.

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 names a clear resource ('Norwegian organisation-number evidence or bounded company-name research') and a specific source (Brønnøysundregistrene). It is not a tautology and is distinct from the other civicdataforge tools, though it does not explicitly name sibling alternatives.

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?

It opens with 'Use for exact nine-digit...' and adds clear exclusions: it 'never issues a KYC, procurement, sanctions, or eligibility verdict.' This gives an agent a solid sense of when to invoke it, even though it does not explicitly contrast it with the evidence-gateway sibling.

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

A3.9/5.0
Disambiguation3/5

Most domain tools are well-scoped with explicit cross-references (e.g., FL DBPR vs. STR registry, Texas vs. multistate childcare). However, the evidence-gateway overlaps with EPA, U.S. property, and other specialized tools by describing similar intake categories, creating ambiguity about when to use the router versus the domain-specific tool.

Naming Consistency3/5

The specialized tools consistently use the civicdataforge-- prefix with descriptive noun phrases, while the generic actor tools use imperative verb_noun style. The naming is readable and predictable within each subgroup, but the mixed conventions and the awkward doubled prefix in civicdataforge--civicdataforge-evidence-gateway prevent full consistency.

Tool Count4/5

Fourteen tools is reasonable for a broad government-evidence server covering many data domains plus an async run lifecycle. The count is not excessive, though the gateway and several overlapping domain-specific tools add some redundancy.

Completeness4/5

The tool set covers a wide range of evidence domains and provides complete async workflow coverage: launch queries, check run status, fetch dataset items, read KVS records, and abort runs. Minor gaps remain, such as no explicit way to enumerate supported jurisdictions or sources, and the gateway's broad categories are underspecified.

Resources