atcUsers
Retrieve a list of ATC users for managing code quality checks in SAP ABAP systems.
Instructions
Retrieves a list of ATC users.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve a list of ATC users for managing code quality checks in SAP ABAP systems.
Retrieves a list of ATC users.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool retrieves a list, implying a read-only operation, but fails to mention critical details like authentication requirements, rate limits, pagination behavior, or error handling. For a tool with zero annotation coverage, this leaves significant gaps in understanding its operational traits.
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, clear sentence with no wasted words, making it highly concise and front-loaded. It directly communicates the core function without fluff or ambiguity, which is ideal for quick comprehension by an AI agent.
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 the lack of annotations and output schema, the description is incomplete for effective tool use. It doesn't specify what the retrieved list contains (e.g., user attributes, format), how results are structured, or any behavioral constraints. For a tool with no structured data support, the description should provide more context to compensate, but it falls short.
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 tool has zero parameters, and the input schema has 100% description coverage (though empty). The description doesn't need to explain parameters, as there are none, so it appropriately avoids redundancy. A baseline score of 4 is applied since no parameter information is required, and the description doesn't add unnecessary details.
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 with a specific verb ('retrieves') and resource ('list of ATC users'), making it immediately understandable. However, it doesn't differentiate itself from potential sibling tools like 'systemUsers', which might serve a similar purpose in listing users, leaving room for ambiguity in a crowded toolset.
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 'systemUsers' or other user-related tools in the sibling list. It lacks context about prerequisites, exclusions, or specific scenarios where this tool is preferred, leaving the agent to infer usage based solely on the tool name.
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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