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

The description adds some behavioral context beyond annotations: it mentions the optional actor-critic pipeline and compatibility with static/server-rendered HTML. However, it does not disclose important traits such as error handling, rate limits, or how the analysis modifies behavior. Given that annotations already declare readOnlyHint and openWorldHint, the description provides moderate added value.

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 consists of two concise sentences with no filler. The most critical information (extract content from URL) appears first, and the optional analysis is introduced naturally. Every word serves a purpose.

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?

For a tool with only two parameters and an output schema, the description covers the core functionality and adds useful context about supported page types. It lacks details on error handling, timeouts, or return format, but these are partially addressed by the output schema and annotations. Overall, it is largely 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 coverage is 100%, so the description does not need to repeat parameter definitions. However, it adds meaning to the 'query' parameter by linking it to the 'actor-critic pipeline', which goes beyond the schema's generic 'Optional analysis question'. This clarifies intent and usage.

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: extracting content from a web page URL, with an optional analysis step. It specifies the resource (web page), the action (extract), and the context (static/server-rendered HTML). This gives a precise understanding without ambiguity.

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?

No guidance is provided on when to use this tool versus alternatives like analyze_document or summarize. There is no mention of prerequisites, limitations, or scenarios where this tool is preferred, leaving the agent to infer use cases.

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