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

Annotations already indicate readOnlyHint=false and destructiveHint=false, so the description does not need to cover all safety aspects. The description adds value by disclosing the cost ('~$0.03'), which is a behavioral trait. However, it does not mention that the question is sent to an external service (Claude LLM) or any rate limits, but this is somewhat implicit and the annotation coverage sets a moderate bar.

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: 'Ask Claude LLM any question, concise answer. ~$0.03.' Every word earns its place, no redundancy or fluff. It immediately conveys the tool's function and key cost detail, making it highly scannable.

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 tool with one parameter and an output schema, the description adequately covers the basics: what it does and cost. It does not need to explain return values because an output schema exists. While it lacks deeper context (e.g., input length limits, privacy), the tool's simplicity and existing annotations make this acceptable, though not fully comprehensive.

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 100% description coverage for the single parameter 'q' ('Your question'), so the schema already fully documents the parameter. The description's 'any question' loosely overlaps with the schema but does not add new semantic detail beyond what is already provided. Baseline 3 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 states a clear purpose: 'Ask Claude LLM any question, concise answer.' It specifies the verb ('Ask'), the resource ('Claude LLM'), and the nature of the output ('concise answer'). However, it does not explicitly distinguish from the sibling tool 'ask_ai_pro', which likely offers a more advanced or expensive variant, so it falls short of full differentiation.

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 no explicit guidance on when to use this tool versus alternatives. It does not mention use cases, exclusions, or trade-offs compared to siblings like 'ask_ai_pro' or other AI tools. The cost hint (~$0.03) implies a budget-conscious use case, but this is not stated as a directive.

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