generate_article_schema

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

No annotations provided, so description carries full burden. It fails to disclose what the tool returns (e.g., a JSON-LD string or object), whether it is read-only, or any prerequisites. Only states the action without behavioral context.

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?

Single sentence front-loading the main purpose. No unnecessary words; every word contributes to clarity. Highly effective for quick understanding.

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 simple nature of the tool and complete input schema, the description is adequate but lacks explanation of output format or how to use the generated schema. No annotations to fill gaps. Misses opportunity to fully inform the agent.

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?

Schema coverage is 100% with each parameter described. Description adds no additional meaning beyond the schema, so baseline of 3 is appropriate. There is no elaboration on parameter relationships or usage context.

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?

Clearly states the tool generates an Article JSON-LD schema for blog posts, news articles, or other written content. The verb 'Generate' and resource 'Article JSON-LD schema' are specific, and the scope differentiates it from siblings like generate_faq_schema.

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 implies usage for articles by specifying content types. While it doesn't explicitly say when not to use it or direct to alternatives, the sibling tool names and the description make the intended use clear. Slight lack of explicit guidance.

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