get_ambient_light

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

With no annotations provided, the description carries full behavioral disclosure burden, but it only states the action. It does not mention whether the reading is live or cached, what units are returned, whether sensor streaming must be active, or any potential side effects—though as a getter, risks are minimal.

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, short sentence that immediately states the operation. It is appropriately concise for a tool with no parameters, though it could add context without becoming verbose.

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?

While the output schema exists and would document return values, the description lacks essential context for when to use this tool versus related sensor getters. Without annotations or usage guidance, the description is not fully complete for an agent to select it confidently among many siblings.

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?

The input schema has zero parameters, and the description correctly implies none are needed. Per the rubric, a zero-parameter tool receives a baseline of 4, and the description does not introduce any conflicting or redundant parameter information.

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 'Get ambient light' uses a specific verb ('get') and resource ('ambient light'), making the tool's purpose immediately clear. It distinguishes from sibling tools like get_temperature and get_sensor_data by naming the exact physical quantity being retrieved.

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?

No guidance is provided on when to use this tool versus alternatives such as get_sensor_data, which may also return light readings. The description gives no context, exclusions, or alternative recommendations, leaving the agent to infer usage solely from the name.

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