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rlowndes9

Zendesk MCP Server

by rlowndes9

list_user_fields

Read-onlyIdempotent

Retrieve custom user field definitions from Zendesk with id, type, key, title, and active status. Supports pagination, field selection, and filtering for targeted schema exploration.

Instructions

Returns user-level custom fields (the schema, not values) as paginated skeletons (id, type, key, title, active, updated_at). Default limit: 100; pass cursor, fields, filter, or verbose: true for dropdown options. Distinct from list_ticket_fields and list_organization_fields. For values on a specific user, fetch with get_user and read user_fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax items to return. Default 100. The full corpus is fetched and cached server-side; this only limits what the response carries.
cursorNoOpaque pagination token from a previous response. Slices the next page from the cached corpus. Stale cursors (older than the cache TTL) auto-reset to offset 0 and set cursor_invalidated: true.
fieldsNoWhitelist of field names. Overrides the default projection. Use to opt into extra fields (e.g. ["id","title","active","position","category_id","updated_at"]) without going fully verbose.
filterNoStructured filter applied to the cached corpus before slicing. Supported keys: active (bool), category_id (number/string), title_contains (string, case-insensitive), updated_since (ISO timestamp). Unsupported keys are ignored with a note in the response.
refreshNoBypass cache and re-fetch from Zendesk
verboseNoReturn full user-field objects instead of the thin projection
instanceNoOverride the sticky instance for this call
Behavior5/5

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

Describes pagination, cursor invalidation, caching, filter behavior (unsupported keys ignored with note). Annotations already indicate read-only and idempotent, and description adds valuable behavioral context without 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 efficient sentences: first explains purpose and output, second provides usage details and sibling distinction. No fluff.

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?

Given 7 parameters, no output schema, but description covers pagination, caching, filtering, and sibling differentiation comprehensively. Agent has enough to use the tool correctly.

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 all parameters with descriptions. Description adds practical context like default limit, cursor auto-reset, filter behavior, and verbose mode, providing additional meaning beyond the schema.

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 it returns user-level custom fields schema as paginated skeletons with specific fields, and explicitly distinguishes from list_ticket_fields and list_organization_fields.

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

Usage Guidelines5/5

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

Provides default limit, cursor behavior, filtering options, and explicitly states when to use get_user for values instead. Clearly differentiates from sibling tools.

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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