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Zendesk MCP Server by Fruggr

Get Zendesk User

get_user
Read-onlyIdempotent

Fetch a Zendesk user by numeric ID to return their full profile, including name, email, role, organization, and tags.

Instructions

Retrieve a single user by their numeric id. Returns the full user record (name, email, role, organization, tags). Use search_users when you only have a name or email, or get_current_user for the authenticated identity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idYesUser ID — the numeric id of the Zendesk user to fetch. Obtain it from search_users, or from the requester/assignee fields of a ticket.

Schema Changelog

Changes observed during successful MCP inspections.

  1. 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"
  2. Changed1 schema field changedv2.6.0
    • changedInput schema / properties / user_id / description
      Previous value: -"User ID"New value: +"User ID — the numeric id of the Zendesk user to fetch. Obtain it from search_users, or from the requester/assignee fields of a ticket."
  3. Changed1 schema field changedv2.3.1
    • addedInput schema / additionalProperties
      Added value: +false
  4. First observedv1.7.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds value by listing the returned fields, which matters since there is no output schema, but it does not address failure modes (e.g., not-found behavior) or permission requirements.

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 compact sentences: purpose first, then routing guidance. No redundant or filler content, and the lookup constraint is front-loaded.

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?

For a single-parameter getter with full schema coverage, the definition covers purpose, key, return shape, and sibling routing. Nothing an agent needs to invoke it correctly is missing.

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% and the single parameter already documents the numeric id plus where to obtain it (search_users, ticket requester/assignee). The description's mention of 'numeric id' merely reinforces the schema, so baseline 3 is appropriate.

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?

States a specific verb (retrieve) and resource (a single user) with the exact lookup key (numeric id), which distinguishes it from bulk/list siblings. It also enumerates the return payload (name, email, role, organization, tags).

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 routes the agent: use search_users when only a name or email is available, and get_current_user for the authenticated identity. Both alternatives are named with the condition that selects them.

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