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kimhjort

aria-mcp-cvr-dk

by kimhjort

search_companies

Search Danish companies by name in the CVR register. Returns the single best match and notes the limitation to one result per query.

Instructions

Search for Danish companies by name in CVR (Det Centrale Virksomhedsregister). Note: cvrapi.dk returns a single best match per query, not a list of results. This tool returns that one match along with a note about this behaviour. For an exact lookup by CVR number use lookup_company instead. Data source: cvrapi.dk (free tier, ~50 lookups/day).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesCompany name (or partial name) to search for.
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns a single best match with a note, and mentions data source and rate limit. However, it does not describe error handling or output format in detail, which would improve transparency.

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, containing four sentences that each add value: purpose, behavioral note, alternative tool, and data source/limit. No wasted words, and the key information is front-loaded.

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 tool has one parameter, no output schema, and no annotations, the description is fairly complete. It explains the data source, behavior, rate limit, and alternative. It lacks details on the response format (e.g., structure of the match object), but the note about returning 'a note about this behaviour' adds some context.

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 already provides a clear description for the single parameter 'name' ('Company name (or partial name) to search for.'). The description does not add additional semantic value beyond what the schema provides, so baseline 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 searches for Danish companies by name in the CVR register, and distinguishes from the sibling tool lookup_company for exact CVR lookups. The verb 'search' and resource 'Danish companies by name' are specific.

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

Usage Guidelines5/5

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

The description explicitly tells when to use this tool (search by name) and when to use the alternative (exact lookup_company). It also notes the behavioral quirk (single best match) and rate limit, providing clear guidance.

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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