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rlowndes9

Zendesk MCP Server

by rlowndes9

list_triggers

Read-onlyIdempotent

List Zendesk triggers with pagination, filtering by active status, category, title, or last update. Supports cursor-based pagination and field projection for customized data.

Instructions

Returns triggers as paginated skeletons (id, title, active, updated_at). Default limit: 100; pass cursor to walk pages, fields to project additional columns, filter for active/category/title-contains/updated-since, or verbose: true for full bodies. For "which triggers do X?" questions prefer find_triggers_by_tag / find_triggers_by_field / find_trigger_conflicts, they filter inside conditions and actions server-side and return only the matches with why_matched breadcrumbs. list_triggers without a filter on instances with thousands of triggers can be slow on first call (cold cache); subsequent calls slice from the cache and are near-instant.

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 trigger 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 readOnlyHint, openWorldHint, and idempotentHint. The description adds significant behavioral context: pagination mechanics (default limit, cursor auto-reset), cache behavior (cold cache slow, subsequent near-instant), projection options (fields, verbose), and filter behavior (ignored unsupported keys with note). No contradictions with annotations.

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 well-structured paragraphs with front-loaded key information. Every sentence earns its place, covering purpose, parameters, performance, and alternatives without redundancy.

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 explains response shape (paginated skeletons vs. full bodies). Covers pagination, filtering, caching, and alternative tools. Complete for a list tool given its complexity and rich annotations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% (all parameters described). The description adds meaning beyond schema: default limit value, cursor stale behavior, filter supported keys, fields whitelist concept, verbose flag effect. Adds substantial value.

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 triggers as paginated skeletons with specific fields ('id', 'title', 'active', 'updated_at'). It distinguishes from sibling tools like find_triggers_by_tag and find_triggers_by_field by specifying their different use cases ('which triggers do X?').

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?

Explicitly guides when to use this tool vs. alternatives: for 'which triggers do X?' questions it recommends finders. Also provides performance guidance: without filter on large instances it can be slow on first call due to cold cache.

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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