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luquimbo

DaVinci Resolve MCP Server

by luquimbo

clip_get_transcript

Read-only

Retrieve the transcript text for any clip by providing its clip name, enabling direct access to spoken content within DaVinci Resolve.

Instructions

Get the transcript text for a clip.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clip_nameYesName of the clip.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The readOnlyHint annotation already declares this as a safe read operation. The description adds no further behavioral context, such as behavior when no transcript exists, but it does not contradict the annotation.

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?

A single concise sentence that is front-loaded and contains no filler. Every word contributes to the tool's purpose.

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

Completeness3/5

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

With an output schema present and only one parameter, the tool is simple. However, the description omits the key prerequisite that a transcript must already exist, likely generated via clip_transcribe_audio. This leaves a gap for agents unaware of the workflow.

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?

The input schema provides 100% coverage for the single parameter clip_name with a clear description. The description adds no additional parameter details, so the baseline score of 3 is appropriate.

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 action (get) and the resource (transcript text) scoped to a clip. This distinguishes it from sibling tools like clip_transcribe_audio (create) and clip_clear_transcript (delete).

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 implies usage (when you need a clip's transcript) but gives no explicit exclusions or alternatives. It does not mention that the clip must already have been transcribed, nor does it point to clip_transcribe_audio as the complementary creation tool.

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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