Qlik MCP Server

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

With no annotations provided, the description carries full burden of behavioral disclosure. It effectively explains the conversational nature of the tool (manages threads, continues conversations), identifies prerequisites (requires pre-configured assistant), and describes the underlying technology (Qlik's built-in AI). It doesn't mention rate limits, authentication needs, or error handling, but provides solid operational context.

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

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

The description is well-structured with clear sections (What is Qlik Answers, When to use, Workflow, Parameters) and uses bullet points effectively. It's appropriately sized for a 5-parameter tool with no annotations, though the 'What is Qlik Answers' section could be slightly more concise.

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

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

For a tool with 5 parameters, 100% schema coverage, but no annotations or output schema, the description provides strong contextual completeness. It explains the tool's purpose, usage context, workflow dependencies, and behavioral characteristics. The main gap is lack of information about return values or response format, which would be helpful given no output schema.

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

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 parameters thoroughly. The description adds minimal value beyond the schema - it mentions the parameters but doesn't provide additional semantic context about format constraints, examples, or edge cases. Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with specific verb ('Ask a question') and resource ('Qlik Answers AI assistant'). It distinguishes from sibling tools by focusing on the Q&A assistant interaction rather than other Qlik operations like alerts, automations, or selections management.

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

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

The description provides explicit guidance on when to use this tool ('User has a Qlik Answers assistant configured', 'User wants to chat with their Qlik Answers assistant', 'User wants to continue an existing conversation thread'). It also names a specific alternative tool ('qlik_answers_list_assistants') for prerequisite steps, creating clear workflow context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.