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Zendesk MCP Server by Fruggr

List Zendesk Views

list_views
Read-onlyIdempotent

List your active Zendesk views with current ticket counts to quickly assess ticket queue workloads.

Instructions

List the agent's active Zendesk views — the saved ticket queues ("Unassigned tickets", "My open tickets", "Breaching today") the agent sees in the Zendesk UI — each with its current ticket count so you can tell at a glance where the workload sits. Views are per-agent scoped, so per-user auth returns exactly the queues this agent can see, with no shared key. Counts come from Zendesk's cache and can lag by up to about an hour (shown as "(count updating)" while a fresh value is still being computed); pass a view's title or id to get_view_tickets to read the tickets inside it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cursorNoPagination cursor from a previous response; omit for the first page.
page_sizeNoViews per page (1-100, default 100).
Behavior4/5

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

Annotations already indicate read-only, idempotent, non-destructive behavior. Description adds critical context about count staleness (up to an hour lag) and the '(count updating)' indicator, providing behavioral insights 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with purpose, and efficiently conveys key details without fluff. All sentences are informative and earn their place.

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?

With no output schema, description explains that the tool returns views with ticket counts and notes caching behavior, which is sufficient for an agent to understand the tool's output and how to use it.

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% for the two parameters (cursor, page_size). Description does not add additional parameter semantics beyond what the schema already provides.

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?

Description clearly specifies verb 'list' and resource 'Zendesk views', and distinguishes from sibling tools like get_view_tickets by mentioning that views are per-agent scoped and that counts are included. It also differentiates from list_tickets by focusing on views.

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?

Description explains that views are per-agent scoped and recommends using get_view_tickets to read tickets inside a view, giving context on when to use this tool vs. alternatives. However, it does not explicitly state when not to use it.

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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