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

Annotations already indicate readOnlyHint=false, openWorldHint=true, and destructiveHint=false, covering the safety profile. The description adds valuable behavioral context beyond annotations: the model version (Grok 4.6), tone ('witty'), speed ('fast'), and cost (~$0.03), which are not derivable from the structured fields.

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 a single, compact sentence that delivers all key facts: the tool's purpose, the model version, the stylistic distinction, and the pricing. Every word earns its place, and it is front-loaded with the action verb 'Ask'.

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 simple one-parameter tool with an output schema and annotations, the description is sufficiently complete: it conveys what the tool does, its unique value proposition, and practical cost. It does not detail the return format, but the output schema presumably covers that, so no additional information is strictly required.

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?

Schema description coverage is 100%: the only parameter 'q' is described as 'Your question'. The description does not add any extra meaning about the parameter, but since the schema fully documents it, a baseline of 3 is appropriate per the rubric.

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 function: 'Ask xAI Grok 4.6'. It uses a specific verb ('Ask') and resource ('xAI Grok 4.6'), and distinguishes it from sibling AI tools by emphasizing the 'witty alternative take' angle, making it clear this is a distinct AI model with a particular style.

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 implies usage context: choose this when you want a fast, witty response from Grok, and the cost hint (~$0.03) may influence decisions. However, it provides no explicit when-to-use or when-not-to-use guidance compared to sibling tools like ask_gpt or ask_gemini, leaving the selection criteria mostly implicit.

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