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UK Business Tools - Ledgerhall

Get Gazette Notice Full Text

dd_gazette_notice
Read-onlyIdempotent

Fetch the full legal wording of a Gazette notice by numeric notice ID.

Returns the complete JSON-LD linked-data record for the notice: parties, legal basis, court, and full text. Use gazette_insolvency first to find notice_numeric_id values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notice_idYesNumeric Gazette notice ID. Returned as notice_numeric_id by gazette_insolvency.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, covering the safety profile. The description adds useful context about the return format (JSON-LD linked-data record with parties, legal basis, court, full text), going beyond annotation basics. Minor gap: no mention of error conditions or auth, but annotations lower the bar.

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 sentences with the purpose front-loaded. The first sentence states the action, the second describes the return value and prerequisite workflow. No wasted words.

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?

The tool is simple (one parameter) with rich annotations, an output schema, and a clear workflow instruction. The description covers purpose, return content, and how to obtain the required ID, making it complete for an agent to invoke 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% for the single parameter, and the schema description already explains notice_id as the numeric Gazette notice ID returned by gazette_insolvency. The description's mention of 'numeric notice ID' adds little beyond the schema, so the baseline 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 clearly states the tool fetches the full legal wording of a Gazette notice by numeric notice ID, with a specific verb and resource. It distinguishes itself from the sibling gazette_insolvency tool by focusing on full text vs. listing, and mentions the linked-data record content.

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?

Explicitly instructs to use gazette_insolvency first to find notice_numeric_id values, providing clear workflow guidance and effectively differentiating this tool from its sibling listing tool. This is a direct when-to-use instruction.

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