analyze_images

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

With no annotations, the description carries the full burden. It discloses the key behavior of accepting mixed image sources and the intended use cases, but does not mention any limitations, error handling, or return format. For a read-only analysis tool, this is acceptable but not rich. It adds some context beyond the schema.

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, well-structured sentence that front-loads the main action and key differentiators. It is concise with no wasted words, while still conveying the essential purpose and use cases.

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?

The description covers the core usage but has gaps given no output schema and no annotations. It does not explain what the response looks like (e.g., combined vs per-image analysis), nor any potential prerequisites or limitations. However, the schema is complete and the description gives enough for a simple analysis 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?

Schema coverage is 100%, so the baseline is 3. The description adds meaningful context by explicitly stating the mixed input types (path/base64/URL) and the purpose of the analysis (comparison, differences, comprehensive understanding), which helps agents understand how to construct the 'images' parameter and use the 'prompt' parameter appropriately.

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 verb 'analyze' and the resource 'multiple images' with explicit use cases (comparison, finding differences, comprehensive understanding). It distinguishes from siblings by explicitly handling multiple images and mixed input types (path/base64/URL), which is not covered by analyze_image or analyze_image_url.

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 context for when to use the tool: when multiple images need joint analysis or comparison. It does not explicitly list alternative tools or exclusions, but the sibling names (analyze_image, analyze_image_url) make it obvious that this is the multi-image variant. The mention of 'mixed' input also hints at a key usage condition.

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