List groups
zendesk_list_groupsList agent groups. Zendesk REST: GET /groups.json.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number for offset pagination. | |
| per_page | No | Records per page (max 100). |
zendesk_list_groupsList agent groups. Zendesk REST: GET /groups.json.
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number for offset pagination. | |
| per_page | No | Records per page (max 100). |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already signals a safe read operation, and the description aligns by using 'List'. The description adds the REST endpoint, which is minor context, but does not disclose potential pagination limits, response structure, or rate-limit behavior. This is a minimal but non-contradictory addition.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences, immediately states the purpose, and includes the REST endpoint without any fluff. It earns its place with no wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple list tool with read-only annotation, pagination schema, and no nested objects, the description is nearly sufficient. It lacks explicit mention of the return format (list of groups), but that is implied by the tool name and purpose. The endpoint reference adds useful technical context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with both page and per_page documented in detail, so the description does not need to explain parameters. The description itself adds no parameter-specific meaning, which is appropriate given the schema's completeness.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'List agent groups' with a specific verb and resource, distinguishing it from sibling tools like list_macros or list_tickets. The REST endpoint reference further confirms the intended action.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of scenarios where listing groups is appropriate or any exclusions or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have distinct purposes, but zendesk_search_users overlaps with zendesk_search (which can search users with type:user), and zendesk_update_ticket can also add a comment, overlapping with zendesk_add_ticket_comment. These create minor ambiguity but are clarified by descriptions.
All tools use a consistent 'zendesk_' prefix and snake_case, but naming patterns deviate slightly: zendesk_current_user lacks a 'get_' verb, and zendesk_execute_view uses 'execute' instead of 'list' or 'get'. Overall, the conventions are mostly uniform and readable.
19 tools is on the higher end but each corresponds to a distinct Zendesk API endpoint or operation. The count is well-scoped for a server covering tickets, users, organizations, views, macros, and satisfaction ratings, without excessive redundancy.
The ticket lifecycle is well covered (create, get, update, comment, list, search, metrics, views), and listing entities like orgs, groups, macros, and fields is supported. Minor gaps exist for user/organization updates and a plain list_users tool, but these are not critical for core support workflows.