List Available Topics

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

No annotations are provided, so the description must convey side effects and behavior. It clearly states it returns structured information and lists content categories, implying a read-only discovery operation. It lacks an explicit 'no side effects' statement, but given its nature, a score of 4 is fair.

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 bullet points, but is slightly verbose. It could be more concise while keeping key information, but it earns a 4.

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 it has no output schema, the description thoroughly explains what is returned (topics, descriptions, URI patterns) and provides usage context. For a discovery tool with no params, it is 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?

With zero parameters, the description doesn't need to explain parameters. The rule says baseline 4 for 0 params, and this is appropriate.

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 starts with a specific verb-resource pair: 'List all available documentation topics and URI patterns for discovery.' It clearly differentiates from sibling tools like list_troubleshooting_topics and list_admin_topics by covering all topics across categories. The purpose is 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 explicitly advises using this tool first to discover documentation before requesting specific topics, which distinguishes it from sibling access tools like get_splunk_documentation or list_troubleshooting_topics. This provides clear when-to-use guidance.

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