MCP Server for Splunk

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 effectively describes the tool's behavior: it retrieves user information, requires no arguments, and returns a structured dictionary with specific fields (e.g., username, roles, capabilities). However, it lacks details on potential errors, rate limits, or authentication requirements beyond mentioning it's for the 'authenticated' user. Given the absence of annotations, this is strong but not exhaustive.

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 and concise. It starts with the core purpose, followed by usage guidelines, parameter information, and response format—all in a logical flow. Every sentence adds value without redundancy, and it's front-loaded with the most critical information. The length is appropriate for the tool's complexity.

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 tool's low complexity (0 parameters, no output schema, no annotations), the description is nearly complete. It covers purpose, usage, parameters, and response format in detail. However, without an output schema, it fully documents the return values, which is sufficient but could benefit from explicit error handling or edge cases. For a simple retrieval tool, this is highly complete.

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 0 parameters with 100% coverage, so the schema fully documents the lack of parameters. The description adds value by explicitly stating 'This tool requires no arguments,' which reinforces the schema and provides clear semantics for the agent. Since there are no parameters, the baseline is 4, and the description effectively compensates by confirming the parameterless nature.

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 explicitly states the tool's purpose: 'Retrieve information about the currently authenticated Splunk user.' It specifies the verb ('retrieve') and resource ('currently authenticated Splunk user'), clearly distinguishing it from sibling tools like 'list_users' which lists all users rather than retrieving details about the current user. The description is specific and unambiguous.

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 explicit guidance on when to use this tool: 'Use this tool whenever you need to check the current user's details, permissions, roles, or capabilities, such as for debugging access issues, understanding available actions, or verifying user context in Splunk environments.' It includes specific use cases (debugging, understanding actions, verifying context) and implicitly distinguishes it from alternatives by focusing on the current user rather than listing all users. This is comprehensive and actionable.

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