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list_question_options

List all answer options for a specific multiple-choice question. Use this to view or manage question choices in your feedback system.

Instructions

List options for a multiple-choice question.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

The description does not disclose any behavioral traits beyond the fact that it lists options. Since there are no annotations, the description should clarify whether the tool requires a question ID, what format options are returned in, or any side effects. It fails to do so.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise (one sentence), but it could be slightly improved by front-loading the key information. It is not overly verbose, but the brevity leaves gaps in completeness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of parameters and no output schema, the description should explain why no parameters are needed (e.g., lists all options? Or requires context from conversation?). It is incomplete because it does not address how the agent specifies which question's options to list.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With zero parameters, the schema is fully covered. The description adds meaning by specifying that the options are for a 'multiple-choice question', which gives context that the schema lacks. Baseline for 0 parameters is 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'List' and the resource 'options for a multiple-choice question'. However, it does not distinguish this tool from siblings like 'list_answers' or 'list_questions', which could overlap in functionality.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives (e.g., when to list options vs. create or delete them). There is no mention of prerequisites or context where this tool is appropriate.

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

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