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fruggr

Zendesk MCP Server by Fruggr

Search Help Center Articles

search_articles
Read-onlyIdempotent

Search Help Center articles by keyword with locale and pagination support. Returns matching articles' metadata and total count.

Instructions

Full-text search across Help Center articles (metadata only, no body). Use get_article for full content. Supports locale filtering. Returns total count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page number for offset pagination. Increment it while keeping `per_page` fixed to fetch subsequent pages; page 1 is the first page.
queryYesFull-text query matched against article titles and body. Plain keywords; combine with the locale filter to scope to one language.
localeNoFilter by locale (e.g., "en-us", "fr")
per_pageNoNumber of results per page for offset pagination (1-100). Pair with `page` to walk large result sets; the response header reports the total count and whether more pages remain.
Behavior4/5

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

Annotations already mark the tool as read-only, idempotent, and non-destructive. The description adds value by clarifying that only metadata (not body) is returned, and mentions return of 'total count'. No contradictions with 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 a single, well-structured sentence that front-loads the core purpose. Every element earns its place with no fluff.

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 search tool with 4 parameters and no output schema, the description adequately covers scope (metadata only), return total count, and locale filtering. However, it does not describe the output structure or pagination behavior beyond what the schema covers, leaving some gaps.

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% with detailed descriptions for all 4 parameters. The description reinforces that 'query' is full-text and 'locale' filters, but does not add new semantic meaning beyond the schema. Baseline 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 'Full-text search across Help Center articles (metadata only, no body)' and distinguishes from 'get_article' for full content. It specifies the resource (Help Center articles) and the action (full-text search) with scope constraints.

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 explicitly directs to 'use get_article for full content' if needed, and notes 'Supports locale filtering.' However, it does not differentiate from sibling tools like 'list_articles' or 'search_tickets', missing some context on when to choose this over alternatives.

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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