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jsperson
by jsperson

set_all_leds

Set all LEDs on the Sphero RVR to the desired RGB color by providing red, green, and blue values. This controls every LED on the robot.

Instructions

Set all LEDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
redYes
blueYes
greenYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It implies a state-changing operation ('set') but doesn't explain the effect on all LEDs (e.g., whether they all go to the same color), any side effects, or output behavior. This is minimal insight beyond the tool name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise—one short sentence—and front-loads the core action. While it's not verbose, it is so brief that it sacrifices valuable information, but for pure conciseness it scores well.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simplicity of the tool (three integers), a short description might suffice, but the complete lack of usage guidance, parameter details, and behavioral context makes it incomplete. The existence of an output schema doesn't compensate for missing input semantics and tool-selection guidance.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, and the description doesn't explain the 'red', 'green', and 'blue' parameters beyond their obvious color names. No ranges, units, or meaning (e.g., 0-255) are provided, so the description adds no semantic value beyond the parameter names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Set all LEDs.' clearly states the action (set) and resource (all LEDs), directly distinguishing it from the sibling tool 'set_led' which presumably affects a single LED. However, it doesn't specify that it sets them to a particular RGB color, leaving some ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives like 'set_led' or 'turn_leds_off'. No context, prerequisites, or exclusions are provided, making it unclear how to choose among related LED-control tools.

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

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