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generate_faq_schema

Converts question-answer pairs into structured FAQPage JSON-LD schema for search engine optimization.

Instructions

Generate a FAQPage JSON-LD schema from a list of question-answer pairs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionsYesArray of question-answer pairs
Behavior2/5

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

No annotations exist, and the description does not disclose behavioral traits such as side effects, permissions, rate limits, or output format. Since there is no output schema, the description could have explained what the generated schema looks like.

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

Conciseness5/5

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

The description is a single, straightforward sentence with no unnecessary words. It is efficiently front-loaded with the key action and result.

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

Completeness3/5

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

The tool is simple (one parameter), but the description lacks explanation of the output or any constraints. Given no output schema, more detail would improve completeness. Still, it is minimally adequate.

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

Parameters3/5

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

Schema coverage is 100%; the input schema already describes the 'questions' parameter and its items. The description does not add additional meaning beyond the schema, so baseline score of 3 is appropriate.

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

Purpose5/5

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

The description clearly states the verb ('Generate'), the resource ('FAQPage JSON-LD schema'), and the input ('list of question-answer pairs'). It is distinct from sibling tools which generate other schema types or validate/list.

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., other generate_* tools) or when not to use it. The description only states the function without context.

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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