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Zendesk MCP Server by Fruggr

Zendesk MCP Server by Fruggr

Zendesk Unified Search

search
Read-onlyIdempotent

Search tickets, users, and organizations using filters like status, role, or free text. Returns paginated results with total counts to locate Zendesk records quickly.

Instructions

Search across tickets, users, and organizations. Supports filters like "type:ticket status:open", "type:user role:agent". Returns total count and paginated results (25 per page by default, up to 100); a ticket description is cut to a 200-character excerpt, which get_ticket returns in full. Organization results include name and ID only — use get_organization for full details (tags, domains, details).

Input Schema

NameRequiredDescriptionDefault
pageNo1-based page number for offset pagination. Increment it while keeping `per_page` fixed to fetch subsequent pages; page 1 is the first page.
queryYesZendesk search query. Supports type/status/role filters (e.g. "type:ticket status:open", "type:user role:agent") and free text; omit a type filter to search tickets, users and organizations at once. "me" is a value of the user keywords only (assignee:, requester:, submitter:); group:me is read as your group when you belong to exactly one, else the call fails naming your groups, so use group:<id>.
per_pageNoNumber of results per page for offset pagination (1-100). Pair with `page` to walk large result sets; the response header reports the total count and whether more pages remain.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv3.6.0
    • changedInput schema / properties / query / description
      Previous value: -"Zendesk search query. Supports type/status/role filters (e.g. \"type:ticket status:open\", \"type:user role:agent\") and free text; omit a type filter to search tickets, users and organizations at once."New value: +"Zendesk search query. Supports type/status/role filters (e.g. \"type:ticket status:open\", \"type:user role:agent\") and free text; omit a type filter to search tickets, users and organizations at once. \"me\" is a value of the user keywords only (assignee:, requester:, submitter:); group:me is read as your group when you belong to exactly one, else the call fails naming your groups, so use group:<id>."
  2. Changed1 schema field changedv3.5.2
    • changedInput schema / properties / per_page / default
      Previous value: -100New value: +25
  3. Changed1 schema field changedv2.24.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  4. Changed3 schema fields changedv2.6.0
    • changedInput schema / properties / page / description
      Previous value: -"Page number (1-based)"New value: +"1-based page number for offset pagination. Increment it while keeping `per_page` fixed to fetch subsequent pages; page 1 is the first page."
    • changedInput schema / properties / per_page / description
      Previous value: -"Results per page (max 100)"New value: +"Number of results per page for offset pagination (1-100). Pair with `page` to walk large result sets; the response header reports the total count and whether more pages remain."
    • changedInput schema / properties / query / description
      Previous value: -"Zendesk search query"New value: +"Zendesk search query. Supports type/status/role filters (e.g. \"type:ticket status:open\", \"type:user role:agent\") and free text; omit a type filter to search tickets, users and organizations at once."
  5. Changed1 schema field changedv2.3.1
    • addedInput schema / additionalProperties
      Added value: +false
  6. First observedv1.7.0

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the safety bar is low; the description goes well beyond by disclosing result truncation (200-character ticket description excerpt) and that organization results return name and ID only. That is exactly the kind of output-shape behavior an agent cannot infer from structured fields.

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?

Three sentences, no filler, and the most important scoping information (what is searched, pagination limits, truncation) is front-loaded. Every clause carries actionable content.

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?

There is no output schema, yet the description explains the return shape: total count, pagination size bounds, excerpt truncation, and reduced organization fields. Combined with 100% schema coverage, an agent has everything needed to call and interpret this tool.

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 description coverage is 100%, so the schema already documents page, query, and per_page in detail. The description restates the filter syntax and pagination defaults but adds no new parameter semantics beyond what the schema provides; baseline 3 applies.

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?

Opens with a specific verb and enumerates exactly which resource types are covered (tickets, users, organizations), which is enough to separate it from the ticket-only sibling search_tickets. The scope is unambiguous without opening any schema.

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?

Gives concrete filter syntax examples and explicit downstream routing: 'use get_organization for full details' and get_ticket for the full description. It does not explicitly say when to prefer search over search_tickets or list_tickets, so the sibling selection guidance is implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.