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CzSadykov

jira-service-desk-mcp

by CzSadykov

list_queues

Retrieve agent queues—saved JQL filters—used to triage requests in a service desk. Optionally include issue counts and paginate results.

Instructions

List agent queues defined in a service desk.

Queues are saved JQL filters that agents use to triage requests (e.g. "All open", "Unassigned", "SLA breached").

Args: service_desk_id: The numeric ID of the service desk (e.g. "1"). include_count: Set true to include the number of issues per queue. start: Pagination offset (0-based). limit: Maximum number of results (default 50).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
service_desk_idYes
include_countNo
startNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It explains the tool's purpose and parameters but does not explicitly state that the operation is idempotent or read-only, which would be helpful context.

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?

The description is compact and well-structured, with a short introduction followed by a clear bullet list of arguments. Every sentence adds value, no redundancy.

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?

Given that an output schema exists, the description does not need to detail return values. It covers purpose, parameters, pagination, and provides examples of queue content. Slightly lacking context on sorting or behavior when no queues exist, but overall complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description compensates fully by explaining each parameter: service_desk_id (numeric ID), include_count (toggle for counts), start (offset), limit (max results, default 50). This adds meaning beyond the schema's property titles and defaults.

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?

The description clearly states it lists agent queues defined in a service desk, provides examples like 'All open', and distinguishes from sibling tools that list other entities (e.g., list_service_desks, list_request_comments).

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?

The description explains the use case: to triage requests via saved JQL filters. It implies when to use but does not explicitly state when not to use or provide alternative tools.

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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