getRandomAIQuestions

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

No annotations are provided, so the description must disclose behavioral traits. It reveals that questions are random and AI-generated, and that human verification is needed. However, it does not mention whether the operation is read-only, any authentication requirements, or rate limits.

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 sentence with 14 words, conveying the core purpose efficiently. It is front-loaded with key information, making it easy for an AI agent to parse quickly.

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 the tool's simplicity (no required parameters, no output schema), the description is adequate but leaves gaps: it does not describe the return format, error handling, or pagination behavior (though the count parameter implies a limit). It lacks completeness for a fully self-contained description.

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 all four parameters. The description adds no additional parameter semantics beyond what is already in the schema, such as default values or enumeration constraints.

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 verb 'Get', the resource 'random AI-generated questions from Robotoff', and the purpose 'need human verification'. It distinguishes from sibling tools like getProductAIQuestions by specifying randomness and community contribution.

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 'great for community contribution' which implies a use case but provides no explicit guidance on when to use this tool versus alternatives like getProductAIQuestions or getInsightTypes. No exclusions or contextual conditions are stated.

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