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

Annotations declare readOnlyHint=true, consistent with a fetch operation. The description adds valuable behavioral context: the tool returns answer keys and explanations, and instructs the AI to never reveal answers prematurely. This goes beyond the basic annotation and helps the agent use the tool responsibly.

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 compact three sentences with front-loaded purpose and key details. The third sentence is slightly prescriptive but earns its place by guiding quiz flow. No unnecessary words, though it could be trimmed 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?

Given the tool has four optional parameters, an output schema, and a well-defined mock test scenario, the description covers the essentials: test format, pass mark, return content, and usage instructions. It is complete enough for an agent to understand what to expect and how to present results.

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?

All four parameters have schema descriptions (100% coverage), so the description adds only modest value: it ties the default count to the real test size and implies that topic/language/province are optional filters. No parameter-specific details are provided beyond the schema, placing this at the baseline of 3.

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 it retrieves a full mock test with answer keys and explanations, using specific details like 20 questions and pass mark 15. However, it does not explicitly distinguish this tool from siblings like 'get_practice_question' or 'get_daily_challenge', missing a chance to clarify when to use each.

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 instructs the AI to act as quizmaster and present questions one at a time, which is helpful usage guidance. However, it does not provide explicit when-to-use or when-not-to-use advice relative to sibling tools, leaving the agent to infer context.

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