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UK Business Tools - Ledgerhall

List GOV.UK Organisations

gov_govuk_list_organisations
Read-onlyIdempotent

List all UK government organisations registered on GOV.UK.

Returns a paginated list of organisations including their slug, acronym, type, and status. Use this to browse the full government structure or discover slugs for use with govuk_get_organisation or govuk_search filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (1-based)
per_pageNoResults per page (1–50)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageYes1-based page number requested.
totalNoTotal number of organisations across all pages, if reported by GOV.UK.
has_moreYesTrue if more organisations exist beyond this page. Re-call with page=page+1 to fetch the next page.
per_pageYesMax organisations requested per page.
returnedYesNumber of organisations returned in this response.
total_pagesNoTotal number of pages available, if reported by GOV.UK.
organisationsNoOrganisations on this page, in the order returned by GOV.UK.

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false. The description adds behavioral context about pagination ('Returns a paginated list') and the specific fields returned (slug, acronym, type, status), which goes beyond the 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 two sentences, front-loaded with the primary action, and every sentence adds value—no fluff or redundancy.

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 pagination tool with full schema coverage, output schema present, and strong annotations, the description is complete. It covers purpose, return content, pagination, and usage guidance.

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%, with both 'page' and 'per_page' clearly described. The description does not add extra parameter meaning beyond the schema, so a 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 starts with 'List all UK government organisations registered on GOV.UK', which is a specific verb+resource combination. It also distinguishes itself from siblings by noting it helps 'discover slugs for use with govuk_get_organisation or govuk_search filters'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use it: 'Use this to browse the full government structure or discover slugs for use with govuk_get_organisation or govuk_search filters.' This names specific alternative tools and clarifies the use case.

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

A4/5.0
Disambiguation4/5

Tools are well-grouped by domain prefixes (dd_, gov_, law_, prop_) with clear descriptions that differentiate them. However, there is minor overlap, e.g., dd_search could be used instead of individual searches, and dd_fetch versus dedicated profile tools might cause confusion.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with domain-specific prefixes (dd_, gov_, law_, prop_). Names are descriptive and predictable, e.g., dd_charity_search, gov_govuk_search, law_bills_search_bills.

Tool Count4/5

70 tools is high but justified by the broad scope covering due diligence, government, legal, and property domains. Each domain has a reasonable number of tools (about 15-20 each). The count is on the upper end but still manageable.

Completeness5/5

The tool set is comprehensive across all domains: full CRUD for companies and charities, detailed legal research (cases, legislation, parliament, citations), property data (EPC, planning, price paid, rentals), and government information. No obvious gaps for the intended use cases.

Resources