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

The annotations already cover read-only, idempotent, open-world, and non-destructive behavior, so the bar for additional behavioral disclosure is lower. The description adds that the tool returns schema.org entities, which is useful output context, but it does not mention edge cases like missing JSON-LD or the effect of rendering modes. No contradiction with annotations exists.

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?

The description is two concise sentences with no filler. The first sentence states the core action, and the second provides concrete examples of returned entity types. Every sentence earns its place.

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 rich input schema (all 5 parameters described with enums), the existing output schema, and comprehensive annotations, the description is sufficient for an agent to understand the tool's role. It does not need to explain return values or parameter details because those are already fully specified. A small enhancement would be a note about when JSON-LD might be absent, but the overall context is complete.

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 description coverage is 100%, meaning every parameter already has a clear description in the schema. The tool description itself adds no parameter-specific meaning beyond the overall purpose, so the baseline of 3 is appropriate.

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?

The description states a specific verb ('Extract') and a specific resource ('JSON-LD structured data from a webpage'), and it includes useful examples of schema.org entity types like Article, Product, and FAQ. It clearly communicates the tool's function, though it does not explicitly differentiate itself from sibling tooltrace_extract, which could also involve extraction.

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 usage context is implied: an agent can infer it should use this tool when it needs JSON-LD/schema.org structured data from a webpage. However, the description gives no explicit when-to-use guidance, no exclusions, and no mention of alternatives among the sibling tools.

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