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get_lighting_cue

Read-only

Fetch a single live lighting cue by its launch_id, including resolved variables, launch_contract, and REACT feedback.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
launch_idYesThe launch_id returned by launch_lighting_cue or list_lighting_cues

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true, covering safety. The description adds useful context about the response contents (resolved variables, launch_contract, REACT feedback), which goes beyond the annotation without contradicting it.

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

Conciseness5/5

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

The description is a single, front-loaded sentence that efficiently conveys the tool's purpose and key details without redundant information.

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

Completeness5/5

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

For a simple read tool with one parameter, read-only annotation, and no output schema, the description sufficiently indicates what is returned and how to identify the target. The context is complete enough for an agent to select and invoke the tool correctly.

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

Parameters3/5

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

Schema covers 100% of the parameter with a clear description of launch_id's source. The tool description doesn't add extra semantics beyond what the schema already provides, aligning with the baseline score.

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

Purpose5/5

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

The description clearly states the tool's function: 'Fetch a single live lighting cue by its launch_id', specifying the resource and identifier. It distinguishes from siblings like list_lighting_cues by explicitly narrowing to a single cue.

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

Usage Guidelines4/5

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

The description implies usage by specifying the launch_id and the parameter description states it comes from launch_lighting_cue or list_lighting_cues, giving clear context. However, it doesn't explicitly state when not to use this tool versus alternatives like list_lighting_cues.

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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TDQS

A3.6/5.0
Disambiguation5/5

Every tool targets a distinct action or resource. Groups like compels, lighting cues, webhooks, and account are clearly separated, and even similar tools (create_compel vs create_compel_from_music) have well-defined differences in input source.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with underscores (e.g., cancel_compel, launch_lighting_cue, register_webhook). No mixing of conventions or ambiguous verb choices.

Tool Count2/5

With 30 tools, the server is above the 25+ threshold for 'too many'. While the scope includes multiple subdomains, the high number adds cognitive load and risks selection errors for an agent.

Completeness3/5

Core workflows are present (create, read, cancel, list, search, render), but missing update/delete for compels and media, and no way to modify render configuration beyond defaults.