analyze_page

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

With no annotations, the description carries the full burden of behavioral disclosure. It does not state whether the tool is read-only, what the output format is, whether it modifies the page, or any limitations (e.g., false positives). The phrase 'auto-detect' implies a non-mutating analysis, but this is not explicit, and the lack of output schema makes the description insufficient.

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 that immediately communicates the tool's purpose. The list of component types is efficient, and the '🆕' emoji is a minor but harmless addition. Every word earns its place without unnecessary elaboration.

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 there is no output schema, the description should explain what the analysis returns (e.g., a structured report, confidence scores, or a visual map). It does not. The tool has 5 optional parameters, and the description fails to clarify how they influence the output or whether the tool can be run with no flags. This gap in behavioral detail makes it incomplete for an agent to know what to expect.

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% with each boolean parameter having a clear description. The tool description lists the same categories (forms, ads, popups, etc.), which reinforces the schema but adds no deeper meaning. It does not explain default behavior when no flags are set, but the schema already makes each parameter self-explanatory.

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 'auto-detects and classifies page components' with a specific list of examples (forms, navigation, ads, popups, etc.). It distinguishes itself from specialized siblings like detect_popups or detect_ads by covering many component types in one tool, though it does not explicitly name these alternatives.

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 the specialized sibling tools (detect_popups, detect_ads, get_form_analysis, etc.). The description does not mention any prerequisites, exclusions, or alternative recommendations, leaving the agent to infer usage context.

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