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Atera MCP by usefulapi

List tickets

atera_list_tickets
Read-only

List helpdesk tickets with priority, status, type, end user, technician, SLA durations and last comments. Filter by customer and/or status. Atera: GET /api/v3/tickets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number, 1-based (default 1).
customer_idNoOnly this customer's tickets.
items_in_pageNoItems per page, 1-50 (default 20).
ticket_statusNoTicket status name, e.g. Open, Pending, Resolved or Closed (or a custom status).
include_relationsNoInclude parent/child ticket relation info.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.8/5.0
Behavior4/5

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

readOnlyHint=true already tells the agent this is a safe read, so the bar is lower. The description adds real value beyond that by enumerating the returned data shape (priority, status, type, end user, technician, SLA durations, last comments) in the absence of an output schema, and cites the underlying endpoint. It does not mention pagination behavior or default page sizing, which keeps it from 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.

Conciseness5/5

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

Three short sentences with zero filler: scope and returned fields first, filtering second, upstream endpoint last. Every clause carries information and nothing is repeated.

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?

With no output schema, the description compensates by naming the fields returned, and pagination defaults live in the schema. For a read-only list tool with full schema coverage this is close to complete; only pagination/ordering behavior and result-set size expectations are unstated.

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 all five parameters (page, customer_id, items_in_page, ticket_status, include_relations) are already documented with types, bounds, and defaults. The description only echoes the customer/status filtering already covered in the schema and adds nothing about pagination or include_relations. Baseline 3 is correct.

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?

Specific verb+resource ('List helpdesk tickets') plus an enumeration of the fields returned (priority, status, type, SLA durations, last comments). That clearly separates it from siblings like atera_get_ticket, atera_create_ticket and atera_update_ticket. It stops short of naming those siblings explicitly, so it is a clear 4 rather than a 5.

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?

The sentence 'Filter by customer and/or status' gives implied usage context for the two filtering parameters, but there is no statement of when to prefer this tool over atera_get_ticket or atera_list_ticket_comments, and no exclusions or prerequisites. Usage is inferable but not guided.

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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