confirm_css_property_usage

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 confirming consent and providing guidance, but lacks details on what the tool actually does behaviorally—e.g., whether it validates the CSS property, stores consent, returns specific guidance formats, or has any side effects like logging. This is a significant gap for a tool with potential implications.

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, efficient sentence that front-loads the core purpose. Every word earns its place, with no redundancy or unnecessary details, making it highly concise and well-structured.

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 moderate complexity (3 parameters, no output schema, no annotations), the description is incomplete. It doesn't explain what the tool returns (e.g., guidance format), how it handles invalid inputs, or any behavioral traits like side effects. This leaves gaps for an AI agent to understand the full context.

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 three parameters. The description adds no additional meaning beyond what the schema provides—it doesn't explain how parameters interact (e.g., how 'user_consent' affects output) or provide examples. Baseline 3 is appropriate as 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 ('Confirms user consent' and 'provides implementation guidance') and identifies the resource ('specific CSS property'). It distinguishes from sibling tools like 'check_css_browser_support' or 'get_css_property_details' by focusing on consent and guidance rather than support checks or details retrieval, though it doesn't 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?

The description implies usage when user consent and CSS property implementation are needed, but it doesn't explicitly state when to use this tool versus alternatives like 'suggest_css_solution'. There's no guidance on prerequisites, exclusions, or specific contexts, leaving usage somewhat vague.

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