set_mood_lighting

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

The description discloses that the action persists and does not restore previous state, which is valuable behavioral context. With no annotations, more could be said (e.g., effects on other settings), but the persistence note is helpful.

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 concise with three sentences, listing moods and parameters without verbosity. Slightly more structure could improve readability, but it remains efficient.

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 tool with one parameter, the description covers purpose, behavior, and parameter options. While it omits error handling or return value details (output schema exists), it is generally complete.

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 description lists available moods (cozy, focus, relax, energize, movie) for the single parameter, adding meaning beyond the schema's plain string type. This compensates for 0% schema description coverage.

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 'Set a mood lighting preset', specifying the verb and resource. However, among sibling tools like 'apply_preset', it does not differentiate itself, limiting clarity to 4.

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 on when to use this tool versus alternatives. The description implies use for changing mood presets but provides no when-not-to-use or sibling comparisons.

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