MCP Server for Splunk

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden and does well by disclosing key behavioral traits: it's a state-changing tool ('change the state'), operations 'affect app state', and 'may require Splunk restart for some changes to take effect'. It also mentions use cases like 'troubleshooting app issues' and 'controlling app availability', though it could be more explicit about permissions or side effects.

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 appropriately sized and front-loaded with the core purpose in the first sentence. The Args and Response Format sections are well-structured, though the middle paragraph ('This tool provides essential app management capabilities...') could be slightly more concise as it partially repeats earlier information.

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?

For a mutation tool with no annotations and no output schema, the description provides good completeness: clear purpose, usage guidelines, behavioral context, detailed parameter explanations, and response format documentation. The main gap is lack of explicit error handling or permission requirements, but overall it's quite comprehensive given the context.

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?

With 0% schema description coverage, the description fully compensates by providing detailed parameter semantics. It explains the 'action' parameter with valid options and their meanings, and the 'app_name' parameter with examples of specific applications. This adds significant value beyond the bare schema.

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 specific verbs ('manage', 'enable', 'disable', 'restart', 'reload') and resources ('Splunk application lifecycle operations'). It distinguishes itself from sibling tools like 'list_apps' by focusing on state-changing actions rather than listing.

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 clear context for when to use this tool ('when you need to change the state of a Splunk app'), including specific scenarios like enabling disabled apps, restarting for configuration changes, or troubleshooting. However, it doesn't explicitly state when NOT to use it or name alternatives among siblings.

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