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UK trade mark applications published for opposition (Trade Marks Journal)

query_uk_trademark_journal
Read-onlyIdempotent

Every UK trade mark application and international registration designating the UK accepted and published in the Intellectual Property Office’s weekly Trade Marks Journal — application number, mark text and type, Nice classes and goods/services, applicant organisation and country, representative firm, filing and priority dates, journal issue, publication date and the two-month opposition deadline. Rolling 52 weekly issues (about a year); the change feed lists each week’s new publications. Applicant names are kept only for organisations; addresses reduced to country; mark images never stored. Filters combine with AND; q searches all text fields. Costs 1 credit(s) per call with an API key; without one, a preview of up to 5 rows (20 calls/day).

Input Schema

NameRequiredDescriptionDefault
qNo
pageNo
originNo
classesNo
sectionNo
per_pageNo
applicantNo
mark_textNo
mark_typeNo
applicant_typeNo
goods_servicesNo
journal_numberNo
representativeNo
class_count_maxNo
class_count_minNo
applicant_countryNo
filing_date_afterNo
application_numberNo
filing_date_beforeNo
publication_date_afterNo
publication_date_beforeNo
opposition_deadline_afterNo
opposition_deadline_beforeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Added

TDQS

A4.3/5.0
Behavior5/5

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

Goes well beyond the readOnlyHint/destructiveHint annotations: discloses the 52-issue coverage window, credit cost per call, the preview cap of 5 rows and 20 calls/day without a key, and deliberate data omissions (no mark images, addresses reduced to country, applicant names only for organisations). These are exactly the constraints an agent needs before calling.

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 core scope is front-loaded in the first clause, followed by fields, coverage, limitations and cost. It is dense and slightly run-on, but nearly every clause carries usable information.

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?

For a read-only, 23-parameter query with no output schema, the description supplies coverage window, cost model, data limitations and filter combination rules. Remaining gaps are the meanings of a few ambiguous parameters and default result ordering.

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?

With 23 parameters and 0% schema description coverage, the description must compensate. It explains that filters AND together and that q searches all text fields, and it enumerates most filterable fields, but ambiguous parameters such as section, origin, applicant_type and class_count_min/max are not clarified.

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?

States a specific verb and resource: querying every UK trade mark application and international registration designating the UK accepted and published in the IPO's weekly Trade Marks Journal. It enumerates the returned fields, which makes the scope unmistakable and distinguishes it from generic search tools in the sibling list.

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?

Points at the change feed for incremental weekly updates and establishes the 52-issue rolling window, implicitly telling the agent when a full query is needed versus a delta pull. It stops short of naming a sibling tool or stating explicit exclusions, so it does not reach the 5 tier.

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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