read_url

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions capabilities like bypassing paywalls and extracting structured data, which adds useful context beyond basic functionality. However, it lacks details on error handling, rate limits, authentication needs, or performance characteristics that would be important for an agent to use it effectively.

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 appropriately sized and front-loaded, starting with the core purpose. Every sentence adds value, such as use cases and capabilities. It could be slightly more concise by combining some phrases, but overall it avoids redundancy and maintains clarity.

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 tool's complexity (web content extraction with multiple parameters) and no output schema, the description is moderately complete. It covers the purpose and use cases but lacks details on return values, error conditions, or limitations. With no annotations and no output schema, more behavioral context would improve completeness for agent usage.

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%, so the schema already documents all parameters thoroughly. The description does not add any parameter-specific information beyond what the schema provides (e.g., it doesn't explain URL formats or the implications of withAllLinks/withAllImages). Baseline 3 is appropriate when the schema does the heavy lifting.

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 states the tool's purpose with specific verbs ('extract and convert') and resources ('web page content'), distinguishing it from siblings like capture_screenshot_url (visual capture) or extract_pdf (PDF-specific). It explicitly mentions the output format ('clean, readable markdown format'), which helps differentiate its function.

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 provides clear context for when to use the tool ('when you need to analyze text content from websites, bypass paywalls, or get structured data'), including specific use cases like reading articles or documentation. However, it does not explicitly state when NOT to use it or name alternatives among sibling tools, such as extract_pdf for PDF files or parallel_read_url for batch processing.

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