analyze_image_batch

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

With no annotations provided, the description carries the burden. It states images are analyzed independently and results returned as a combined report with per-image summaries. However, it lacks details on concurrency, ordering, or limitations (size, formats). It does not contradict any annotations (none present), and the provided behavior is accurate but incomplete.

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 two sentences with no fluff. The first sentence states purpose, the second provides usage guidance and behavioral context. It is front-loaded and every sentence earns its place, achieving maximum conciseness.

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?

Despite having an output schema, the tool has a complex input schema (array of objects with multiple fields) and zero schema descriptions. The description omits critical guidance on constructing the images parameter (required fields, available modes, prompts). This leaves a significant gap for correct invocation, making it incomplete for an agent.

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 0%, so the description must explain parameters. It fails to mention any parameter details: the 'images' array structure (mode, prompt, image_url, image_path) and 'detail_level' are not described. The description only vaguely references 'multiple images' without adding semantic value beyond the bare schema.

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 analyzes multiple images in a single call, using specific verbs and resource ('analyze multiple images'). Examples (screenshots, UI mockups, diagrams, error captures) and use cases (comparing error states, multi-page UI flows) provide strong context. It implicitly distinguishes from siblings like analyze_image (single image) through the emphasis on batch processing.

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 says 'Use this when a coding agent needs to process several screenshots... at once' and gives concrete examples. While it does not name alternative tools or explicitly exclude single-image use, the context strongly implies batch scenarios, making it clear when to choose this tool over single-image variants.

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