get_camera_label_best

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

No annotations are provided, so the description carries the transparency burden. It explains the internal 'rolling best snapshot per (camera, label)' behavior, which adds useful context, but it does not clarify edge cases like missing snapshots, what 'best' means, or the exact return representation.

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: the first states the exact operation, and the second adds meaningful context about the rolling snapshot and a realistic use case. No words are wasted.

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 lookup tool with an output schema and full parameter schema coverage, the description is largely complete. It could mention what happens when no snapshot exists, but the core purpose and behavior are sufficiently conveyed.

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 100%, with camera, label, and height all described in the input schema. The description adds no semantic detail beyond the schema, so the baseline of 3 is appropriate.

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 opens with 'Get the most recent best thumbnail for a camera + label combo,' which clearly states the verb, resource, and scope. It distinguishes this from sibling event-specific tools like get_event_thumbnail by emphasizing the camera+label rolling snapshot concept.

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 gives a concrete use case: 'a quick "what's the latest person seen on the front door?" query.' This provides clear context for when to use the tool, though it does not explicitly name alternative tools or state when not to use it.

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