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atera

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. First observed

TDQS

A3.5/5.0
Behavior3/5

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

readOnlyHint=true already establishes this as a safe read, so the description's incremental burden is lower. It adds useful context by disclosing the returned fields and the backing endpoint (GET /api/v3/tickets). It does not describe pagination behavior or how the SLA-duration/

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

Conciseness4/5

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

Three short sentences, front-loaded with what is returned and how to filter; no filler. The trailing endpoint reference is marginally useful for API tracing but is the closest thing to overhead.

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 usefully compensates by enumerating the fields returned, and annotations cover the safety profile. For a read-only list tool with fully documented parameters, this is essentially complete; only pagination semantics remain implicit via the schema.

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 all five parameters, including defaults and ranges — baseline is 3. The description mentions customer and status filtering (mapping to customer_id and ticket_status) but adds nothing about page, items_in_page, or include_relations.

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?

The description uses a specific verb ("List") with a specific resource ("helpdesk tickets") and enumerates the returned fields (priority, status, type, end user, technician, SLA durations, last comments). This clearly separates it from atera_get_ticket and atera_list_ticket_comments. It stops short of naming those siblings explicitly.

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?

"Filter by customer and/or status" gives an implied usage cue for narrowing results, 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 only loosely 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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