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Company Registry Enricher

company-registry-enricher
Read-only

Turn a company name, LEI or UK company number into an official registry card: legal name, status, jurisdiction, registered address and LEI via GLEIF (free, no key). Optionally add UK directors and SIC codes with your own Companies House API key. — $0.01/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companiesYesLegal names, LEIs (20-char code) or UK company numbers to look up. One row per entry. A name can carry a country hint after a pipe — "Monzo Bank Limited | GB" — which is what separates same-named companies in different countries. An LEI or UK company number is used as-is, with no name search.
maxConcurrencyNoHow many companies to look up in parallel.
companiesHouseApiKeyNoYour own free UK Companies House API key. When set, GB entities are enriched with directors and SIC codes. Get one at developer.company-information.service.gov.uk. Leave empty to get the GLEIF card only.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds valuable behavioral context beyond this by disclosing pricing ($0.01/call), payment method (x402 on base), and the free/no-key nature of GLEIF data, plus the optional API key requirement. No contradictions with annotations.

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 compact, with two sentences plus a pricing note. It front-loads the core value proposition and includes only essential details, making it easy to parse quickly. Every sentence earns its place.

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's moderate complexity (3 params, 1 required, no output schema) and rich annotations, the description covers key aspects: input types, optional enrichment, pricing, and auth needs. It is complete enough for an agent to use it correctly, though it could mention limits (e.g., 100 max) which are in the schema but not the description.

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?

Schema description coverage is 100%, so the baseline is 3. The description itself mentions the accepted identifier formats and the optional Companies House key, but the schema already provides detailed parameter descriptions (e.g., pipe syntax for country hints). The description adds little beyond what the schema already communicates.

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 turns a company name, LEI or UK company number into an official registry card, listing the specific output fields (legal name, status, jurisdiction, registered address, LEI). It also distinguishes itself from siblings by naming GLEIF and options UK Companies House enrichment, making its purpose unmistakable.

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 provides clear context for when to use the tool: for official registry data via GLEIF with no key, and optionally for UK directors/SIC codes with a Companies House key. It does not explicitly exclude alternatives (e.g., company-lookup) or state 'use when...', but the context is sufficiently clear for an agent to select it appropriately.

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

A3.8/5.0
Disambiguation3/5

Several tools overlap in signal space: hiring-radar, hiring-trend-index, layoff-tracker, and intent-signal-aggregator all touch hiring; funding-alert vs funding-round-tracker, sanctions-screening vs sanctions-update-alert, and rollup tools vs individual checks create boundary ambiguity. However, each has a distinct output format, so descriptions help.

Naming Consistency4/5

Tool names are consistently lowercase with hyphens and descriptive noun phrases (e.g., company-hiring-radar, litigation-check), but pricing_info breaks the pattern with snake_case and a non-descriptive name.

Tool Count3/5

With 20 tools, the server feels heavy and covers a wide range of premium data services, but each tool does target a distinct data source or workflow, so it's borderline rather than excessive.

Completeness4/5

The surface covers company identity, hiring, litigation, sanctions, funding, and patents well, but lacks direct financials, ownership structure, and general news monitoring beyond funding/layoffs, leaving some sales-intelligence gaps.

Resources