generate_quiz

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It explains batching to bypass limits and support for question types, but does not mention side effects, authentication requirements, or whether the tool is read-only. This leaves some uncertainty, warranting a 3.

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 moderately sized and well-structured: a one-line summary, a behavioral note, and a bulleted Args list. It front-loads the main purpose. Slightly verbose due to the Args repetitions, but overall efficient. A 4 reflects good but not perfect conciseness.

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?

The description covers key aspects: parameters, batching, question types, and cumulative merging. However, it lacks details about the output JSON format (keys, structure), which would be helpful given no output schema. The language default ('es') is mentioned without explanation. Overall adequate but with notable gaps.

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 0% description coverage, so the description must compensate. It does so comprehensively by listing all 7 parameters with clear explanations, defaults, and permissible values (e.g., topic: 'all sources', difficulty: easy/medium/hard/mixed). This adds full meaning beyond the schema's bare types.

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 purpose: generating a JSON quiz from a NotebookLM notebook's sources. It specifies the output format (JSON) and resource (notebook's sources). The verb 'generate' is specific, and the tool is distinct from sibling tools (ask, find, list). No ambiguity.

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 does not explicitly state when to use this tool versus alternatives. It mentions supporting multiple_choice and true_false question types, which provides some guidance, but no explicit context on when to choose this over siblings like ask_notebook. A 3 reflects the lack of direct usage instructions.

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