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luquimbo

DaVinci Resolve MCP Server

by luquimbo

item_stabilize

Remove camera shake by running stabilization analysis on a timeline item. Specify the item name, track type, and track index to target the clip for stabilization.

Instructions

Run stabilization analysis on a timeline item.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
item_nameYesName of the item.
track_typeNoTrack type — "video" or "audio".video
track_indexNo1-based track number.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It does not say whether the analysis modifies the item, how long it takes, whether it is reversible, or what results are produced. The phrase 'stabilization analysis' hints at an action but lacks any details about side effects or output, leaving significant uncertainty.

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 with no filler words. It states the action and target directly, making it highly concise. While it is minimal, it avoids unnecessary repetition and earns its place.

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

Completeness2/5

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

Despite having an output schema and simple parameters, the description lacks context about the stabilization analysis workflow. It does not explain what the analysis does, whether it is a one-off operation, or how the result is used. For a tool that likely involves a complex feature (stabilization), the description is too sparse to give an agent enough context to confidently invoke it.

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 complete descriptions for all three parameters (item_name, track_type, track_index), so the baseline is 3 even with no additional parameter details in the description. The description does not add extra meaning beyond the schema, but it also does not need to since the schema is self-explanatory.

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 uses a specific verb ('Run') and resource ('timeline item') with a clear operation ('stabilization analysis'). It is distinct from sibling item_* tools, which focus on properties, takes, or transformations, so there is no ambiguity about what this tool does.

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 the tool is used to perform stabilization analysis on a timeline item, but it does not explicitly state when to use it versus alternatives, nor does it mention exclusions or prerequisites. The context is clear enough for a basic agent, but no alternatives or special conditions are noted.

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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