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validate_ui5_code

validate_ui5_code

Validate SAPUI5 code for proper sap.ui.define usage, dependency order, naming conventions, and MVC separation to ensure code quality and compatibility.

Instructions

Validate SAPUI5 code for sap.ui.define usage, dependency order, naming, and MVC separation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
expectedControllerNameNo
sourceTypeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
issuesYes
isValidYes
sourceTypeYes
issueDetailsYes
rulesVersionYes
issuesByCategoryYes
controllerMethodsYes
missingLifecycleMethodsYes
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 what the tool validates but doesn't describe behavioral traits like whether it's read-only (implied by 'validate'), what the output contains, error handling, performance implications, or any side effects. For a validation tool with zero annotation coverage, this leaves significant gaps in understanding how it operates.

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 that front-loads the core purpose without unnecessary words. Every part ('Validate SAPUI5 code for...') directly contributes to understanding the tool's function, making it appropriately sized and well-structured for quick comprehension.

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

Completeness3/5

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

Given the tool's complexity (validating multiple UI5 aspects), no annotations, and an output schema (which exists but isn't provided here), the description is minimally complete. It specifies what is validated but lacks details on behavior, parameters, and usage context. The output schema might cover return values, but the description doesn't bridge other gaps, making it adequate but with clear room for improvement.

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

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the schema provides no parameter documentation. The description adds no information about parameters beyond what's inferred from the tool name (e.g., 'code' is likely the UI5 code to validate). It doesn't explain the purpose of 'expectedControllerName' or 'sourceType', their formats, or how they affect validation. With 3 parameters and no schema descriptions, the description fails to compensate adequately.

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: 'Validate SAPUI5 code for sap.ui.define usage, dependency order, naming, and MVC separation.' It specifies the verb (validate) and resource (SAPUI5 code) with concrete validation aspects. However, it doesn't explicitly distinguish from siblings like 'validate_ui5_odata_usage' or 'validate_ui5_version_compatibility', which focus on different validation aspects.

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 when validation is needed (e.g., during development, before deployment), prerequisites, or how it differs from siblings like 'lint_javascript_code' or 'security_check_ui5_app'. Without such context, users must infer usage from the tool name alone.

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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