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Glama
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).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.7.7

TDQS

A4/5.0
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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