Skip to main content
Glama
undsoul

Qlik MCP Server

by undsoul

qlik_alert_trigger

Manually trigger Qlik Cloud data alerts to check conditions and send notifications. Execute alerts immediately for real-time monitoring and response.

Instructions

Manually trigger a Qlik Cloud data alert.

Cloud-only feature - Not available for on-premise deployments.

Forces immediate execution of the alert to check conditions and send notifications if triggered.

Parameters:

  • alertId: Alert ID to trigger (required)

Returns:

  • Execution ID and status

Example: { "alertId": "alert-id-here" }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
alertIdYesAlert ID to trigger
Behavior3/5

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

With no annotations provided, the description carries full burden. It discloses key behavioral traits: this is a manual triggering operation that forces immediate execution and sends notifications if conditions are met. However, it doesn't mention permission requirements, rate limits, or whether this action is logged/auditable.

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?

Well-structured with clear sections (purpose, limitation, behavior, parameters, returns, example). Every sentence earns its place, and the information is front-loaded with the core purpose stated first.

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?

For a single-parameter tool with no output schema, the description provides good context about what the tool does, its cloud-only limitation, and example usage. However, without annotations or output schema, it could better explain the return format ('Execution ID and status' is somewhat vague) and error conditions.

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 100%, so the schema already documents the single required alertId parameter. The description repeats the parameter information but doesn't add meaningful context beyond what's in the schema, such as where to find alert IDs or format expectations.

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 tool's purpose with specific verb ('manually trigger') and resource ('Qlik Cloud data alert'), and distinguishes it from siblings like qlik_alert_get (retrieve) and qlik_alert_delete (remove). The cloud-only limitation further clarifies scope.

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 provides clear context for when to use this tool ('forces immediate execution of the alert to check conditions and send notifications'), but doesn't explicitly state when not to use it or mention alternatives like qlik_trigger_app_reload for different triggering scenarios.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/undsoul/qlik-claude-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server