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

Annotations already signal idempotent, non-destructive behavior, and the description adds a concrete billing detail ('Flat $0.05/call') and input constraints not present in the annotations. It does not disclose error/edge-case behavior or what happens without a valid x_payment, but it does not contradict the annotations.

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?

Three compact sentences front-load the verdict type, then give input constraints and pricing with no filler. Every element—output scope, input requirements, cost—earns its place.

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?

Without an output schema, the description does a reasonable job of naming return components (seasonal color, face-impression zone, body frame, integration rules) and the required inputs. It leaves payment-flow and error behavior to the schema/x_payment parameter, so it is not fully complete but is adequate for a complex paid tool.

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?

The input schema covers all 7 parameters at 100%, so this dimension starts at baseline 3. The description adds useful meaning by translating parameters into product requirements (1-3 face photos; full-body and questionnaire optional) and clarifying that image_url/image_base64/body_image_url are ways to satisfy those requirements.

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 names a specific deliverable ('integrated styling verdict') and lists its components (seasonal color, face-impression zone, body frame, integration rules), so an agent can recognize this as a multi-signal style-analysis tool. It does not explicitly distinguish it from sibling tools like style_report or portrait_analysis, but the composite scope is clear.

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 explicit input requirements for when the tool is applicable: 1-3 face photos, optional full-body photo, and optional questionnaire. It does not state when to prefer style_profile over related siblings, but the context is clear enough to establish appropriate use.

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