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Hei33enberg

WhiteIntel MCP Server

by Hei33enberg

search_companies

Searches UK Companies House by name to find company registrations and retrieve identifying information for further investigation.

Instructions

Free-text company-name search against UK Companies House. Use this to resolve a company NAME into the registration number that lookup_company needs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesCompany name or fragment.
limitNoMax results (default 8).
Behavior3/5

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

No annotations are provided, so the description carries the transparency burden. It discloses that this is a free-text name search scoped to UK Companies House, but it does not describe return format, ordering, pagination, or no-match behavior. It adds some useful context but is not comprehensive.

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 concise sentences. The first gives the core action and scope, the second explains the purpose and relationship to a sibling tool. Every word earns its place, 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?

For a simple two-parameter search tool with no output schema, the description is sufficiently complete: it explains the input, the source, and the intended downstream use. It could benefit from mentioning the response shape, but this is not a major gap given the tool's simplicity.

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 full descriptions for both parameters (q and limit) with 100% coverage. The description adds no extra parameter-specific semantics, so it stays at the baseline for schema-covered parameters.

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 states a specific verb ('search') and resource ('UK Companies House') and defines the output as resolving a company name into the registration number. It also ties directly to the sibling tool 'lookup_company', making its role unambiguous.

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 clearly tells when to use this tool: to resolve a name to a registration number needed by lookup_company. However, it does not explicitly mention when not to use it or how it differs from search_entities, so it lacks full exclusion/alternative 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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