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uk_companies_search

Search the official UK Companies House register — UK company search, status, type and registered details lookup (KYB) by name or number, or fetch a detailed company profile (registered address, SIC codes, officers) by company number. Official UK register coverage. Price: $0.01 per call (x402 payment, USDC on Base mainnet). UK company verification via the official Companies House register. Search by name or number, or fetch a detailed profile by company number: status, type, incorporation date, registered office address, SIC codes, insolvency history and officers (with post-ECCTA identity verification status when present). For KYB, AML and supplier due-diligence agents. Input: company name or number.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoCompany name or number, e.g. 'Tesco' or '00445790'
limitNoMax results [1-50], e.g. 20
start_indexNoPagination offset, e.g. 0
company_numberNoIf set, return the detailed profile for this number, e.g. '00445790'

TDQS

A4.4/5.0
Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses pricing ($0.01 per call), payment method (USDC on Base mainnet), data source (official register), and return fields (status, type, incorporation date, etc.). It is a read-only operation, which is implied but not explicitly stated as non-destructive.

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 long but well-structured: it starts with the core purpose, then details capabilities, pricing, and target users. Each sentence adds information, though some repetition (e.g., 'Official UK register coverage' appears twice) slightly reduces conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having no output schema, the description thoroughly lists return fields (status, type, incorporation date, registered office address, SIC codes, insolvency history, officers with ECCTA identity verification). It also covers pricing, use case, and input examples, making it self-sufficient for an agent to understand the tool's behavior and output.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, but the description adds value by providing concrete examples ('Tesco', '00445790') and explaining the distinct role of company_number for detailed profiles. This goes beyond the schema's terse descriptions.

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 the official UK Companies House register with two distinct operations: search by name/number or fetch detailed profile. It specifies the resource (UK Companies House register) and actions (search, fetch), distinguishing it from sibling tools that cover different domains.

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 explicitly states the use case: 'For KYB, AML and supplier due-diligence agents.' It provides examples of when to search vs. fetch profile. However, it does not mention when not to use or alternative tools, but the context is sufficient for an agent.

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

A3.5/5.0
Disambiguation4/5

Most tools have distinct purposes with detailed descriptions. However, there are clusters of similar tools (e.g., multiple token safety and pre-trade verdict tools for different chains) that could cause confusion, though descriptions help differentiate.

Naming Consistency5/5

All tool names follow a consistent pattern of lowercase snake_case with descriptive prefixes (e.g., agent_, crypto_, x402_). No mixing of conventions or ambiguous names.

Tool Count2/5

52 tools is excessive for a single server, covering a wide range of unrelated domains (crypto, legal, climate, transport, etc.). This overwhelms an agent and suggests a lack of focus.

Completeness2/5

The server lacks a coherent domain; it offers one-off tools across many areas but misses fundamental operations for any specific domain (e.g., no company registry for US, no order placement for crypto). Significant gaps exist.

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