generate_ui5_view_logic

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 generates logic methods but does not explain what this entails—e.g., whether it creates new files, modifies existing ones, requires specific permissions, or handles errors. For a generation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior and impact.

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 front-loads the core purpose without unnecessary words. It is appropriately sized for a straightforward tool, with zero waste or redundancy, making it easy to parse quickly.

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 that an output schema exists, the description does not need to explain return values. However, with no annotations, low parameter coverage, and a generation task that could involve file modifications, the description is incomplete. It lacks details on behavior, parameters, and usage context, though the output schema mitigates some gaps.

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?

Schema description coverage is 0%, meaning parameters are undocumented in the schema. The description does not mention any parameters or their semantics, such as what 'viewName' and 'events' represent or how they should be formatted. With two parameters and no compensation in the description, this is inadequate for guiding usage.

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 tool's purpose: 'Generate UI5 view-controller event logic methods for XML views.' It specifies the verb ('Generate'), resource ('UI5 view-controller event logic methods'), and target ('XML views'), making it easy to understand. However, it does not explicitly differentiate from sibling tools like 'generate_ui5_controller' or 'generate_ui5_feature', which might have overlapping or related functions.

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. It lacks context on prerequisites, such as needing an existing UI5 project or XML view, and does not mention sibling tools like 'generate_ui5_controller' or 'generate_ui5_feature' that might be relevant for similar tasks. Usage is implied but not explicitly stated.

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