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get_zendesk_tickets

Fetch synced Zendesk support tickets for the authenticated user.

Returns Zendesk tickets that were synced when the user connected their Zendesk account via Settings → Integrations. Each ticket includes: ticket_id, subject, description, status, priority, created_at, and tags.

The user must first connect Zendesk in Settings → Integrations before tickets will be available.

Args: status_filter: Optional status to filter by (e.g. "open", "pending", "solved", "closed"). If omitted, returns all tickets. priority_filter: Optional priority to filter by (e.g. "urgent", "high", "normal", "low"). If omitted, returns all priorities.

Returns: JSON object with tickets array, total count, and filter info. Claude can display as a table, summarize trends, or answer questions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
status_filterNo
priority_filterNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that data is *synced* (not live), that a Zendesk connection is required, and which fields each ticket contains. It omits auth scope, rate-limit, and freshness/staleness details, keeping it short of a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The Args and Returns sections are well front-loaded, but the closing line ('Claude can display as a table, summarize trends, or answer questions') is speculative filler that adds no invocation value, and the Returns block duplicates the output schema.

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?

For a two-parameter read tool with an output schema, the description supplies the prerequisite, filter semantics, and field inventory an agent needs. Return-shape explanation is redundant with the output schema, but nothing essential is missing.

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 description coverage is 0%, so the description must compensate, and it does: both filters are explained with concrete example values ('open', 'pending', 'solved' / 'urgent', 'high', 'normal', 'low') plus explicit default semantics when omitted. It just lacks guidance on valid value casing or matching behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

It states a specific verb and resource ('Fetch synced Zendesk support tickets for the authenticated user') and names the data source precisely. It does not, however, explicitly distinguish itself from the sibling get_tickets, leaving the agent to infer the difference.

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

Usage Guidelines3/5

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

It gives a genuine prerequisite ('The user must first connect Zendesk in Settings → Integrations') and explains the default behavior when filters are omitted. It never routes the agent away from alternatives such as get_tickets or get_support_agent_data, so usage relative to siblings remains implied.

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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