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set_fixture_attribute

Set a specific attribute like Pan, Tilt, or Dimmer on one or multiple lighting fixtures by providing the fixture number, attribute name, and value. Supports range selection.

Instructions

Set a specific attribute on fixture(s).

First selects the fixture(s), then applies the attribute value.

Args:
    fixture_id: Fixture number (or start of range)
    attribute: Attribute name (e.g., "Pan", "Tilt", "Dimmer")
    value: Value to set
    end_fixture: (Optional) End fixture for range

Returns:
    str: Operation result message

Examples:
    - Set Pan to 128 on fixture 1
    - Set Tilt to 50 on fixtures 1 thru 10

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fixture_idYes
attributeYes
valueYes
end_fixtureNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It mentions that the tool 'first selects the fixture(s), then applies the attribute value' but does not discuss side effects, error conditions, or safety (e.g., destructive or read-only nature). This is insufficient for a mutation tool.

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 concise with a clear format: a one-line summary, a brief process note, an Args list with bullet points, a Returns line, and Examples. Each part serves a purpose without redundancy. Minor improvement could be removing the 'Args:' prefix since the schema already lists parameters, but overall well-structured.

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

Completeness4/5

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

Given the tool has 4 parameters (3 required) and an output schema, the description covers the main points: what the tool does, parameters, return type, and examples. It does not detail output schema behavior but the output schema itself provides that. The description is complete enough for an agent to use the tool effectively.

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

Parameters4/5

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

The input schema has no descriptions beyond titles and types (0% coverage). The description adds meaning by listing fixture_id as 'Fixtures number (or start of range)', attribute as 'Attribute name (e.g., "Pan", "Tilt", "Dimmer")', value as 'Value to set', and end_fixture as 'End fixture for range'. Examples clarify usage, compensating for the schema's lack of detail.

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 clearly states 'Set a specific attribute on fixture(s)' and explains the selection-then-apply process. Examples like 'Set Pan to 128' clarify the purpose. It distinguishes from siblings like 'set_fixture_value' by focusing on attributes (e.g., Pan, Tilt) rather than generic values.

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

Usage Guidelines3/5

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

The description does not explicitly state when to use this tool vs alternatives (e.g., set_fixture_value, park_fixture). However, the examples and parameter names (attribute, value, range) imply usage for setting parameter attributes on one or a range of fixtures. No when-not-to-use guidance is provided.

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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