qlik_clear_selections
Clear all selections in a Qlik app to reset data filters and start new analysis.
Instructions
Clear all selections in an app
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| appId | Yes | App ID |
Clear all selections in a Qlik app to reset data filters and start new analysis.
Clear all selections in an app
| Name | Required | Description | Default |
|---|---|---|---|
| appId | Yes | App ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('Clear all selections') but doesn't explain what 'clear' entails (e.g., irreversible deletion, reset to defaults), permission requirements, side effects, or error conditions. This is inadequate for a mutation tool with zero annotation coverage.
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 a single, efficient sentence that directly states the tool's purpose without any fluff. It's appropriately sized and front-loaded, with every word contributing to clarity.
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?
Given this is a mutation tool with no annotations and no output schema, the description is insufficiently complete. It doesn't cover behavioral aspects like what 'clear' means operationally, success/failure responses, or how it interacts with sibling tools (e.g., selections management). More context is needed for safe and effective use.
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?
The input schema has 100% description coverage, with 'appId' documented as 'App ID'. The description doesn't add parameter details beyond this, but with high schema coverage and only one parameter, the baseline is strong. No additional semantics are needed, though it doesn't compensate for any gaps.
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 action ('Clear all selections') and the target resource ('in an app'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'qlik_get_current_selections' or 'qlik_apply_selections', which prevents a perfect score.
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 no guidance on when to use this tool versus alternatives, such as when to clear selections instead of getting or applying them. It lacks any mention of prerequisites, exclusions, or contextual triggers, leaving usage entirely implicit.
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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