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arthurfantaci

Qlik MCP Server

handle_get_app_data_sources

Retrieve categorized data sources from a Qlik Sense application by analyzing its script lineage, including resident, file, binary, and inline sources.

Instructions

MCP tool handler for retrieving data sources from a Qlik Sense application.

This tool connects to a Qlik Sense server, opens the specified application, retrieves the lineage information to identify all data sources used in LOAD and STORE statements, and returns categorized results for analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argsYesRetrieve data sources from a Qlik Sense application's lineage. This tool connects to a Qlik Sense server, opens the specified application, retrieves the lineage information to identify all data sources used in LOAD and STORE statements, and returns categorized results for analysis.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description bears full responsibility. It discloses it connects to a server, opens an app, retrieves lineage, and returns categorized results. It does not mention side effects, authentication requirements, or performance considerations, but as a read operation the transparency is adequate.

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 sentences, front-loaded with the purpose, and contains no extraneous information. Every sentence adds value.

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 moderate parameter count (5), required fields (1), and presence of an output schema, the description provides sufficient context. It mentions 'categorized results' which is appropriate since the output schema presumably details categories. The tool's complexity is well-covered.

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 coverage is 100%, and the description adds minimal value beyond what the input schema already provides. The description reiterates 'lineage information to identify all data sources' but does not elaborate on parameter usage beyond the schema's own descriptions.

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 ('retrieves'), resource ('data sources from Qlik Sense application'), and scope ('LOAD and STORE statements'). It distinguishes from siblings (e.g., handle_get_app_dimensions, handle_get_app_fields) by focusing specifically on data sources.

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 implies usage when needing to identify data sources, but does not explicitly state when not to use it or compare to alternatives. However, sibling tool names provide enough context that this tool is for data sources, not other application components.

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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