get_splunk_cheat_sheet

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

With no annotations provided, the description fully carries the burden of behavioral disclosure. It explains that the tool returns an 'embedded resource with actual markdown content' and lists the categories of included information (commands, regex, stats, etc.), accurately describing the output without contradictions.

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 concise at two sentences plus a bullet list, and it front-loads the primary purpose. All sentences add value, though the bullet list could be slightly more compact without losing clarity.

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?

Despite the absence of an output schema, the description covers the return value by explicitly listing the categories of cheat sheet content. For a no-parameter tool with low complexity, this provides sufficient context for an AI agent to understand what the tool delivers.

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 zero parameters, so there is nothing to explain. According to the rubric, no parameters warrant a baseline score of 4, and the description does not add any parameter-related information since none exist.

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 tool name 'get_splunk_cheat_sheet' directly indicates its function, and the description clearly states it retrieves a comprehensive SPL cheat sheet with commands, regex, and examples. It is distinct from sibling tools like 'get_spl_reference' and 'get_admin_guide', which serve different purposes.

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 mentions the tool is 'perfect for quick reference during SPL query development and troubleshooting,' giving clear context for when to use it. However, it does not explicitly exclude scenarios or name alternative tools, leaving some ambiguity with potentially overlapping siblings like 'get_spl_reference'.

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