observe_chapter_quiz

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that the read happens in-process and uses the existing parser, implying no external browser launch, but it does not state read-only safety explicitly, required preconditions, or what happens when the iframe is absent.

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?

A single front-loaded sentence with no filler. It is appropriately sized for the action, though the phrase 'existing parser' is slightly vague and the sentence could be more specific about preconditions without bloat.

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?

An output schema exists, so return values needn't be explained, and there are no parameters. However, in a dense sibling ecosystem with quiz preparation, submission, and grading tools, the description omits prerequisites and workflow positioning, leaving a meaningful gap.

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 the baseline is 4. There is no parameter behavior to clarify, and the description does not need to add anything here.

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 pair (read, parse) and resource (quiz iframe DOM), and notes it runs in-process using the existing parser. An agent can distinguish it from grading/submission siblings like read_chapter_quiz_grading and submit_chapter_quiz, though it doesn't explicitly name an alternative.

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 explains what the tool does but gives no when-to-use guidance, no prerequisites (e.g., quiz iframe must be open), and no explicit alternatives among the many sibling tools. Usage is only inferable from the observation-before-action naming.

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