get_quiz_questions

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

With no annotations, the description carries the full burden, and it delivers the key behavioral facts: this is an argument-free fetch that returns exactly 9 questions with options, descriptions, and metadata. It doesn't mention permission requirements or constraints, but for a read-only static quiz fetch that is a minor gap.

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?

Three sentences, no filler: what it returns, what it contains, and the workflow it belongs to. The return shape is front-loaded before the usage instruction.

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?

Because no output schema exists, the description must describe the return value, and it does so at a useful level (9 questions with options, descriptions, metadata). It could name the metadata fields or the answer format expected by recommend, but nothing essential for calling it correctly is missing.

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 tool takes zero parameters, so per the baseline there are no parameter semantics to clarify. The description correctly implies no inputs are required to retrieve the question set.

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?

States a specific verb and resource (get quiz questions) plus scope (all questions for the prop firm recommendation quiz) and even the expected payload size. An agent can distinguish it immediately from siblings like get_firm, search_firms, and recommend.

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?

Explicitly says to use it to walk users through the quiz step-by-step and to follow up with the recommend tool once answers are collected, which gives a clear sequencing context. It lacks any when-not-to-use or exclusion guidance, so it falls short of a 5.

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