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Get Persons with Significant Control

company_psc
Read-onlyIdempotent

Identify beneficial owners and ownership risks for a UK company. Returns Persons with Significant Control entries, including natures of control and risk flags for overseas corporate PSCs.

Instructions

Fetch Persons with Significant Control (beneficial ownership) for a company.

Returns PSC entries with natures of control, nationality, and country of residence. Flags overseas corporate PSC entries as a beneficial ownership risk signal. Returns an explanatory note for widely-held PLCs with no registrable PSC.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_numberYesCompanies House company number (8 digits, e.g. '03782379'). Returned by company_search.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pscNoPersons with Significant Control records.
noteNoExplanatory note when total=0. Typical for widely-held listed PLCs where no single person or entity holds 25%+ of shares or voting rights.
totalYesTotal PSC entries returned for this company.
company_numberYesCompanies House company number.
overseas_corporate_psc_flagNoNumber of corporate PSCs registered outside the UK. Non-zero values indicate an offshore beneficial ownership chain.
Install Server

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already indicate read-only, idempotent, non-destructive behavior. The description adds meaningful behavioral detail by explaining that overseas corporate PSC entries are flagged as a risk signal and that widely-held PLCs with no registrable PSC receive an explanatory note.

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 three sentences with no filler. It front-loads the core purpose and then efficiently covers key output details and a special-case behavior, earning its length.

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?

For a simple read-only lookup with one documented parameter and an output schema, the description covers purpose, key result fields, risk flagging behavior, and an important edge case. Nothing essential is missing for an agent to invoke it correctly.

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 coverage is 100% and the single parameter is already well described with format guidance and an example in the schema. The description does not add additional parameter-level detail, so the baseline score of 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 uses a specific verb ('Fetch') with a clear resource ('Persons with Significant Control') and adds 'beneficial ownership' for disambiguation. It clearly distinguishes itself from sibling tools like company_officers and company_profile by focusing on PSC data specifically.

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 makes it clear this tool is for retrieving PSC/beneficial ownership information for a company, which gives strong contextual guidance. It does not explicitly name alternatives or exclusions, but the purpose is distinct enough that an agent can infer when to use it.

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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