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

With no annotations, the description carries the disclosure burden. It does add useful behavioral context by stating the operation is synchronous and returns the result immediately. However, it does not disclose potential network fetch behavior, failure modes, access restrictions, or whether all page types are supported.

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 short sentences with no filler. It front-loads the primary function and immediately provides the most important behavioral qualifier (synchronous execution).

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?

Core invocation is covered: URL and instructions are clear, and the optional schema is mentioned. However, with no output schema and no annotations, the description could do more to explain the return format, error handling, or limitations such as unsupported pages. It is adequate but not comprehensive.

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 description adds meaning beyond the schema by clarifying that instructions and/or a JSON schema drive the extraction, and that these can be used together. It does not explain the country_code setting, but schema coverage is high and the core instruction/schema combination is well articulated.

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 clearly identifies the action ('loads a webpage by URL and extracts structured data'), the resource (a webpage), and the output type (structured data). It also names the input modes (natural-language instructions and/or JSON schema), making it easy to distinguish from sibling enrichment/search tools.

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?

Usage is implied: use when you have a URL and need structured data extracted from it. However, the description does not explicitly state when to use this tool instead of siblings like run_research or run_search, nor does it provide exclusions or alternatives.

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