analyze_images

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

With no annotations provided, the description carries the burden of behavioral disclosure. It explains input constraints (size, count) and return type (joint analysis text), but does not explicitly mention side effects, safety, or error behavior. This is moderate transparency for an analysis tool that likely has none.

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 well-structured with an intro sentence, Args section, and Returns section. Every line adds value, including practical example questions, without wasted words.

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 simple two-parameter interface and the presence of an output schema, the description is complete. It covers purpose, parameter semantics, return type, and usage constraints. No critical information about the tool's operation is missing.

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%, and the description fully compensates by explaining both parameters in detail. It describes images as a list of paths or URLs with practical size/count limits, and question as a comparison or summary instruction with concrete examples, adding significant meaning beyond the raw 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 performs joint analysis of multiple images with concrete examples (before/after, A/B comparison, multi-frame sequence). This distinguishes it from sibling tools like describe_image which handle single images, making the purpose unambiguous.

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 clear usage context through examples and constraints (recommended 2-5 images, each ≤10MB), implying it should be used for comparative or multi-image tasks. However, it does not explicitly name alternatives or state when not to use this tool, so it falls short of the top score.

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