List Users

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 disclosing behavior. It explains that the tool returns a dictionary with a 'status' field and 'data' containing 'count' and 'users' array with properties (username, realname, email, roles, type, defaultApp). This clarifies output format and the nature of the operation (a retrieval). However, it does not mention potential limitations like pagination or permission requirements, but for a simple list operation, the disclosed behavior is adequate for agent decision-making.

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 well-structured with a clear first sentence stating purpose, followed by explicit usage guidance, and a separate 'Response Format' section. It is not overly verbose, though the enumeration of use cases adds a bit of extra length. Overall, it is efficiently written and front-loaded with the core purpose.

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 simplicity of the tool (no parameters, no output schema), the description is quite complete. It covers the purpose, usage context, and details the return format (including the structure of the 'users' array). The only minor gap is the absence of note about potential large responses or error cases, but that is not critical for this straightforward operation. It satisfies the requirements for an agent to use it correctly.

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 description explicitly states 'This tool requires no arguments.' With schema description coverage at 100% (since there are no properties), there is nothing technical to clarify. The baseline for zero parameters is 4, and the description reinforces that fact, earning the full score.

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: 'Retrieve comprehensive inventory of all Splunk users and their properties.' It uses a specific verb ('Retrieve') and resource ('all Splunk users'), and it distinguishes itself from siblings by listing the exact use cases (security audits, user management, access patterns). No other sibling tool appears to focus on listing users, so it stands apart.

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 explicitly states when to use this tool: 'Use this tool when you need to list all users in the Splunk environment, such as for security audits, user management, or understanding access patterns.' It also notes that it requires no arguments, which is useful for an agent deciding to call it. There are no explicit alternatives mentioned, but none exist among the siblings, so the guidance is complete.

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