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bbernstein

LacyLights MCP Server

by bbernstein

get_cue

Retrieve full details for a specific cue by ID, including metadata, look information, and cue list data to inspect one cue in detail.

Instructions

Get full details for a specific cue by ID.

Returns:

  • Cue metadata (name, number, fade times, follow time, notes)

  • Look information (id, name, description)

  • Cue list information (id, name)

Use this when you need to inspect a single cue in detail.

Use cases:

  • "Show me details for cue 5.5"

  • "What look does this cue use?"

  • "What are the fade times for this cue?"

Note: To look up a cue by number or name, use get_cue_list_details with filters and lookup tables instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cueIdYesCue ID to retrieve

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.7.0

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses the return contents (metadata, look info, cue list info), which compensates for the missing output schema and implies a safe read. It does not cover error behavior when a cue is not found or any permission requirements, keeping it short of a 5.

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?

Front-loaded with the core purpose, then organized into Returns, when-to-use, use cases, and a routing note. Every section earns its place, especially the return list given there is no output schema.

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 single-item read tool with no annotations and no output schema, the description covers what it returns, when to use it, and the sibling to use instead. Nothing an agent needs to invoke it correctly is missing.

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?

Single parameter with 100% schema description coverage, so the schema already documents cueId. The description adds only that lookup is 'by ID', which is marginal beyond the schema. Baseline 3 applies when the schema does the heavy lifting.

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?

States a specific verb (get) and resource (cue) scoped to a single item by ID, and explicitly distinguishes itself from the lookup sibling get_cue_list_details. An agent can tell what it does and what it is not for without opening either schema.

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

Usage Guidelines5/5

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

Provides an explicit when-to-use statement ('when you need to inspect a single cue in detail'), concrete use-case examples, and names the alternative (get_cue_list_details) with the condition that selects it (lookup by number/name). Routing is unambiguous.

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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