Qlik MCP Server

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

With no annotations provided, the description carries the full burden. It discloses key behavioral traits like the ability to wait for completion and poll for status, and mentions options like partial reload and skip-store. However, it doesn't cover important aspects like authentication requirements, rate limits, error handling, or what happens when the reload fails.

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 (purpose, usage scenarios, parameters) and front-loads the core functionality. While slightly verbose in the parameter section (which duplicates schema information), the usage scenarios add valuable context efficiently.

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 6 parameters, no annotations, and no output schema, the description provides good usage context but lacks critical information about what the tool returns, error conditions, or system limitations. The usage scenarios help, but more behavioral transparency would be needed for full completeness.

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?

With 100% schema description coverage, the schema already documents all parameters thoroughly. The description's parameter section adds minimal value beyond what's in the schema - it restates parameter names and basic purposes but doesn't provide additional context about how parameters interact or advanced usage patterns.

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 specific action ('Triggers a reload') and resource ('for a Qlik Cloud app'), distinguishing it from sibling tools like qlik_cancel_reload, qlik_get_reload_info, and qlik_get_reload_status. It precisely defines the tool's function without being tautological.

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 'Usage scenarios' section explicitly lists four specific contexts for when to use this tool (e.g., 'Trigger immediate reload after data source update', 'Schedule reload with monitoring'), providing clear guidance on appropriate use cases without needing to reference alternatives.

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