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arthurfantaci

Qlik MCP Server

handle_get_app_measures

Retrieve all measures from a Qlik Sense application. Supports including expressions and tags for comprehensive metadata extraction.

Instructions

MCP tool handler for retrieving Qlik Sense measures.

This tool connects to a Qlik Sense server, opens the specified application, creates a MeasureList session object, retrieves all measure metadata, and returns the results as structured JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argsYesRetrieve all measures from a Qlik Sense application. This tool connects to a Qlik Sense server, opens the specified application, creates a MeasureList session object, retrieves all measure metadata, and returns the results as structured JSON.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description minimally describes the retrieval process (connects, opens, creates, retrieves, returns) but does not disclose potential side effects, authentication needs, or performance implications. It is accurate but lacks depth.

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 two concise sentences with no wasted words. The first sentence front-loads the purpose, and the second adds procedural context. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description adequately conveys the core action but omits mention of optional parameters that control response content (include_expression, include_tags). However, since the schema covers these, the description is minimally complete for the main task.

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?

The schema covers all parameters with clear descriptions (app_id as GUID/name, include_expression and include_tags with defaults). The tool description adds no additional meaning beyond the schema, so the baseline of 3 is appropriate.

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 verb 'retrieving' and the resource 'Qlik Sense measures', distinguishing it from sibling tools for other app resources like data sources, dimensions, fields, etc.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide any guidance on when to use this tool versus alternatives, nor does it mention any context or exclusions. It only describes what the tool does, leaving the agent to infer usage from the tool name alone.

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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