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piiiico

proof-of-commitment

lookup_business

Search a Norwegian business to get its verified commitment profile based on public registry data, including operational history, financial health, and employee count.

Instructions

Search for a Norwegian business and get its commitment profile from public data (Brønnøysund Register Centre). Returns real commitment signals that can't be faked:

  • Temporal commitment: how long the business has operated

  • Financial commitment: revenue, profitability, equity health

  • Operational commitment: employee count, active status

  • Overall commitment score (0-100)

Data source: Norwegian government registers (Brreg). No user-contributed data needed — immediate trust verification for any Norwegian business.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesBusiness name to search for (e.g. 'Peppes Pizza', 'Equinor')
maxResultsNoMaximum number of results to return (default: 3)
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It explains the output but does not address authentication needs, rate limits, error handling, or potential side effects. The description focuses on output rather than operational characteristics.

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?

Description is concise, well-structured with bullet points, and front-loads the main purpose. 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?

With no output schema, the description explains the return value (commitment signals and score) and data source. It covers purpose, input, and output adequately, though it could mention error cases or limitations.

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?

Input schema has 100% coverage with descriptions for both parameters. The description adds context that query is a business name and maxResults default is 3, but this largely mirrors the schema. No new parameter semantics beyond schema details.

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?

Description clearly states the tool searches for Norwegian businesses and returns a commitment profile from Brønnøysund Register Centre. The verb and resource are specific, and it distinguishes from sibling tools like lookup_business_by_org and query_commitment.

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

Usage Guidelines3/5

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

The description implies use for Norwegian business trust verification but does not explicitly state when to use this tool versus alternatives like lookup_business_by_org or query_commitment. No guidance on exclusions or prerequisites.

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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