extract_page

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

No annotations exist, so description carries full burden. It discloses the dual outcome (paid vs unpaid) but omits critical behaviors like side effects, authentication requirements, rate limits, or error handling for invalid URLs. The conditional behavior is mentioned but not comprehensively.

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 a single, front-loaded sentence with no wasted words, efficiently conveying the core functionality. However, it is at the expense of sufficient detail for other dimensions.

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 has 3 parameters, conditional behavior, and an output schema, the description is too sparse. It lacks details on return format, parameter usage, and prerequisites, making it incomplete for an agent to use correctly.

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 0%, yet the description only implicitly mentions URLs and does not explain the 'payment' and 'payment_identifier' parameters. Their roles remain ambiguous, failing to add value beyond parameter names.

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 verb (extract), resource (paid page URLs), and the conditional behavior (text/metadata vs payment requirements). It distinguishes itself from sibling tools by focusing on paid pages and payment gates.

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 when to use (extracting text from paid pages), but does not provide explicit when-not-to-use guidance or compare with siblings like 'search' or 'research_pack'. Usage context is partially clear but lacks exclusionary advice.

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