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mediawiki_check_terminology

Read-onlyIdempotent

Scan wiki pages for terminology violations against a glossary, detecting incorrect brand terms and suggesting corrections.

Instructions

Scan pages for terminology violations against a glossary.

USE WHEN: User asks "check brand terminology", "find incorrect terms", "verify consistent naming".

PARAMETERS:

  • pages: Array of pages to check (optional)

  • category: Check all pages in category (optional)

  • glossary_page: Wiki page with term mappings (default "Brand Terminology Glossary")

  • exclude_code_blocks: Skip code blocks (default true)

  • limit: Max pages (default 10)

RETURNS: Violations with page, line, wrong term, and correct term.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rationaleNoOptional one-sentence explanation of why you are calling this tool. Used for audit trails when present.
pagesNoPage titles to check. If empty, uses pages from category.
categoryNoCategory to get pages from (alternative to pages list)
glossary_pageNoWiki page containing the glossary table (default: 'Brand Terminology Glossary')
limitNoMax pages to check (default 10, max 50)
exclude_code_blocksNoSkip code blocks (syntaxhighlight, source, pre, code tags) to avoid false positives on code paths. Default: true

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pages_checkedYes
issues_foundYes
glossary_pageYes
terms_loadedYes
pagesYes
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint. The description adds valuable detail about return values (violations with page, line, wrong term, correct term) and explains the exclude_code_blocks parameter's purpose to avoid false positives, enhancing transparency beyond 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 extremely concise: one sentence for purpose, a USE WHEN line, parameter list, and returns. Every sentence is informative with no redundancy.

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 simplicity and full schema coverage, the description is complete. It covers purpose, usage, parameters, and output. A small gap is the lack of when-not-to-use guidance, but the annotations and schema fill the rest.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 100% schema coverage, baseline is 3. The description adds meaning by explaining exclude_code_blocks as avoiding false positives on code paths, which is not evident from the param name alone. This adds value.

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 a specific verb+resource: 'Scan pages for terminology violations against a glossary.' This clearly distinguishes it from sibling tools like mediawiki_check_links or mediawiki_check_translations.

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 includes an explicit 'USE WHEN' section with example user queries, providing clear context. However, it does not mention when not to use or suggest alternatives, but the examples sufficiently guide typical usage.

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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