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rlowndes9

Zendesk MCP Server

by rlowndes9

list_custom_statuses

Read-onlyIdempotent

Retrieve custom ticket statuses from Zendesk, with optional filtering by active state, category, or title, and pagination support.

Instructions

Returns custom ticket statuses as paginated skeletons (id, status_category, agent_label, active, default, updated_at). Default limit: 100; pass cursor, fields, filter, or verbose: true. Custom-status lists are tiny (handful of entries), so straight enumeration is fine. For deeper hygiene checks (which rules reference deactivated statuses, etc.) trace via find_triggers_by_field with field: "status".

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 custom-status 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?

Annotations already declare readOnly, openWorld, and idempotent hints. Description adds rich behavioral details: pagination with cursor, caching, filtering, refresh, verbose, parameter behavior beyond schema.

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?

Four concise sentences: defines core, gives defaults/options, contextualizes size, provides alternative. No wasted words, well-structured.

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?

Despite no output schema, the description covers return format (skeletons or full objects), pagination, caching, filtering, refresh, and verbose. Complete for a read-only listing tool with good annotations.

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%, so baseline is 3. Description adds context: limit only limits response, cursor behavior, fields usage, filter supported keys, refresh and verbose. Adds value above 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 custom ticket statuses as paginated skeletons, specifying the default fields. Distinguishes from siblings by noting alternative for deep hygiene checks.

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?

Explicit guidance: for simple listing, enumeration is fine; for deeper hygiene checks, use find_triggers_by_field with field 'status'. Provides clear when-to-use and alternative.

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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