analyze_ad_image

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

The annotations already indicate read-only and non-destructive behavior. The description adds that it downloads and analyzes images, uses caching for cost-efficiency, and extracts specific content types. It doesn't contradict annotations and offers useful operational context beyond the structured metadata.

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 compact and front-loaded with the 'REQUIRED' label and core purpose. It lists valuable details (caching, what to extract) without repetition. The structure is efficient and each sentence adds information.

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 simple image-analysis tool, the description covers the main functionality, usage context, and caching behavior. It does not describe return format, but the list of extracted elements gives a strong hint. Combined with annotations and sibling context, it's reasonably complete, though a brief note on output or error handling would improve it.

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 schema has no descriptions (0% coverage), and the tool description only indirectly refers to media_url as the image URL. It does not explain the purpose or effect of ad_id or brand_name parameters. Since the description fails to compensate for the missing schema information, the agent gets little additional meaning for these parameters.

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 identifies the tool's function: downloading and analyzing ad images from TikTok ads. It lists specific extractable elements (visual, text, colors, people, brand, composition) and distinguishes from sibling tools by focusing on images rather than videos. It leaves no ambiguity about the resource and action.

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 explicitly states 'REQUIRED for analyzing images from TikTok ads' and instructs to use it for every image URL from search_tiktok_ads. It provides strong when-to-use guidance, though it doesn't explicitly mention alternatives or when-not-to-use. The context is clear and compelling.

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