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Qlik MCP Server

by undsoul

qlik_automation_get_details

Retrieve comprehensive details of a specific automation workflow, including its definition, connections, and configuration, from Qlik Cloud or Qlik Sense Enterprise environments.

Instructions

Get full details of a specific automation including its workflow definition.

Parameters:

  • automationId: The unique identifier of the automation

Returns:

  • Full automation object with workflow definition, connections, and configuration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
automationIdYesThe automation ID to retrieve
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It indicates this is a read operation ('Get'), but does not specify permissions required, rate limits, or error conditions. The mention of returning 'full automation object' adds some context about output richness, but lacks details on pagination, authentication needs, or side effects.

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 front-loaded with the core purpose in the first sentence, followed by structured sections for parameters and returns. Every sentence earns its place by providing essential information without redundancy, and the use of markdown formatting enhances readability without adding fluff.

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 the tool's low complexity (one parameter, no nested objects) and lack of output schema, the description is reasonably complete. It covers the purpose, parameter, and return value, but could improve by addressing behavioral aspects like error handling or authentication. The absence of annotations means the description should ideally include more operational context, but it suffices for basic use.

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

Parameters4/5

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

Schema description coverage is 100%, with the parameter 'automationId' fully documented in the schema. The description adds minimal value by restating the parameter name and its purpose ('The unique identifier of the automation'), but does not provide additional semantics like format examples or constraints. With only one parameter, the baseline is high, but the description compensates slightly by clarifying the parameter's role.

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 the specific action ('Get full details') and resource ('a specific automation including its workflow definition'), distinguishing it from sibling tools like 'qlik_automation_list' (which lists automations) and 'qlik_automation_run' (which executes automations). The verb+resource combination is precise and unambiguous.

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 description implies usage when detailed information about a specific automation is needed, but does not explicitly state when to use this tool versus alternatives like 'qlik_automation_list' for overviews or 'qlik_automation_run' for execution. No exclusions or prerequisites are mentioned, leaving usage context somewhat implicit.

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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