vision_compare

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

No annotations are provided, so the description carries the full behavioral burden. It says the analysis happens 'in one call', but discloses nothing about cost/latency of a multi-image model call, the 5-image cap, how labels/ordering affect results, or what the response contains. Significant gaps for a 4-param tool with zero annotation coverage.

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?

A single tight sentence with the core scope front-loaded and no filler. It is efficient, though arguably too terse for the omissions noted elsewhere.

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?

No output schema and no annotations, so the description would need to explain return shape, task semantics, and ordering. Instead it leaves the meaning of diff/compare/sequence, model selection, and result structure entirely unaddressed for a 4-param multi-image 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?

With 50% schema description coverage, the description should compensate, but it only restates the task enum values already in the schema. It adds no meaning for 'model' (why/when to override the default), 'question', or the nested image object fields (label, image_path, image_base64, mime_type).

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?

States a specific verb ('Analyze') and resource ('multiple related images') and enumerates the three task modes, which scopes it against the single-image siblings (vision_inspect, vision_ocr, vision_layout). It never names an alternative tool, but the multi-image framing is clear enough that an agent can distinguish it.

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 parenthetical '(diff, compare, sequence)' implies the usage modes, but there is no explicit when-to-use versus vision_inspect or vision_annotate, and no guidance on how many images or what kind of relationship warrants this tool over single-image ones. Usage is only implied.

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