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famousdrew

Zendesk MCP Server

by famousdrew

zendesk_search

Search Zendesk tickets using queries like status:open, priority:urgent, or tags:need_help.

Instructions

Search for Zendesk tickets based on a query

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query (e.g., 'status:open', 'priority:urgent', 'tags:need_help')
Behavior2/5

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

With no annotations, the description must disclose all behavioral traits. It only says 'Search for Zendesk tickets' without clarifying output format, pagination, rate limits, or whether it is read-only. This is insufficient for an agent to understand side effects.

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, concise sentence that clearly conveys the tool's purpose with no wasted words. It is front-loaded and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite the tool being simple with one parameter and no output schema, the description lacks critical context such as what the search returns (full tickets or summaries), pagination behavior, or any limitations. This leaves the agent underinformed.

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?

Schema coverage is 100% for the single parameter. The description adds value by providing example query syntax (e.g., 'status:open', 'tags:need_help'), which enhances understanding beyond the schema description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it searches for Zendesk tickets based on a query, but it does not distinguish this from sibling tools like zendesk_search_by_brand and zendesk_search_by_field which have similar purposes.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives, such as zendesk_search_by_brand or zendesk_get_ticket. The description simply states what it does without context for appropriate 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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