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undsoul

Qlik MCP Server

by undsoul

qlik_search_users

Find users by name or email in Qlik Cloud or Qlik Sense Enterprise environments to manage user administration and access.

Instructions

Search for users by name or email

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesUser name or email to search
limitNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool searches users but doesn't cover aspects like whether it's read-only, if it requires authentication, rate limits, pagination behavior (implied by 'limit' parameter but not explained), or what the output format is. This leaves significant gaps for a search operation.

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 a single, efficient sentence with no wasted words. It's front-loaded with the core purpose, making it easy to parse quickly.

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

Completeness2/5

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

Given no annotations, no output schema, and incomplete parameter documentation (50% schema coverage), the description is insufficient. It doesn't explain behavioral traits, output format, or fully clarify parameters, making it inadequate for a search tool with two parameters.

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 description coverage is 50% (only 'query' has a description, 'limit' lacks one). The description adds minimal value by implying 'query' is for name or email, but doesn't clarify search semantics (e.g., partial matches, case sensitivity) or explain the 'limit' parameter's effect. It partially compensates for the coverage gap but not fully.

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

Purpose4/5

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 a specific verb ('Search') and resource ('users'), and specifies the search criteria ('by name or email'). However, it doesn't differentiate from sibling tools like 'qlik_search' or 'qlik_get_user_info', which could be related search/user tools, so it doesn't fully distinguish from alternatives.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'qlik_search' (which might search other entities) or 'qlik_get_user_info' (which might retrieve specific user details), leaving the agent without context for tool selection.

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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