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yutamago

tokenless-zendesk-mcp

by yutamago

Search Zendesk

zendesk_search
Read-only

Search Zendesk tickets, users, organizations, and groups using any Zendesk query string, returning results tagged with type and raw API data.

Instructions

Search Zendesk via the REST API (/api/v2/search). Accepts any Zendesk search query string (e.g. 'type:ticket status:open assignee:me'). Returns matching results, each tagged with its result_type (ticket, user, organization, group) and the raw API record.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesZendesk search query string.
limitNoMax results to return (default 200; API caps search at 1000).
Behavior4/5

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

Annotations already indicate read-only and open-world. Description adds context: uses REST API returns result_type and raw record. No contradiction.

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, front-loaded with essential info, 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?

Complete for a search tool with only 2 params, full schema coverage, good annotations. Explains return format despite no output schema.

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 covers both parameters fully. Description adds value with query example and explains limit default and API cap.

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?

Clearly states it searches Zendesk via REST API, accepts any search query, and returns results with result_type. Distinct from siblings like zendesk_search_users.

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?

Provides example query and states it accepts any Zendesk search string, but does not explicitly say when to use vs alternatives. Implicit from sibling list.

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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