Skip to main content
Glama
leancoderkavy

Premiere Pro MCP Server

Get Clip Adjustment Layer

get_clip_adjustment_layer
Read-onlyIdempotent

Check whether a Premiere Pro clip is an adjustment layer using its node ID, so you can branch edit logic correctly.

Instructions

Check if a clip is an adjustment layer

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
node_idYesNode ID of the clip

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool completed successfully.
dataNoTool-specific result data when ok is true; on failure, diagnostic detail when the tool provides it.
toolYesThe registered MCP tool name.
errorNoFailure detail when ok is false.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.18.6
    • addedInput schema / additionalProperties
      Added value: +false
    • changedOutput schema / properties / data / description
      Previous value: -"Tool-specific result data when ok is true."New value: +"Tool-specific result data when ok is true; on failure, diagnostic detail when the tool provides it."
  2. Changed2 schema fields changedv1.14.4
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "https://json-schema.org/draft/2020-12/schema",
      +  "additionalProperties": false,
      +  "properties": {
      +    "data": {
      +      "description": "Tool-specific result data when ok is true."
      +    },
      +    "error": {
      +      "description": "Failure detail when ok is false.",
      +      "type": "string"
      +    },
      +    "ok": {
      +      "description": "Whether the tool completed successfully.",
      +      "type": "boolean"
      +    },
      +    "tool": {
      +      "description": "The registered MCP tool name.",
      +      "minLength": 1,
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "ok",
      +    "tool"
      +  ],
      +  "type": "object"
      +}
  3. Changed1 schema field changedv1.4.0
    • removedInput schema / additionalProperties
      Removed value: -false
  4. First observedv1.1.1

TDQS

B3.1/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered externally. The description adds no behavioral context beyond restating the check itself (e.g., what the result implies or how it behaves on non-clip nodes).

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?

A single short sentence with zero waste, appropriately sized for a one-parameter predicate tool. It is terse but front-loaded and does not pad.

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?

An output schema exists so the return value needn't be explained, and annotations cover the safety profile. For a simple boolean-style query tool, the description is complete enough, though a hint about its role relative to add_adjustment_layer would help.

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?

With a single parameter at 100% schema description coverage, the schema fully documents node_id. The description adds no syntax or format detail beyond the schema, so the baseline of 3 applies.

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 states a specific verb ('Check if') and resource ('clip is an adjustment layer'), making the purpose immediately legible. It does not differentiate from related siblings such as add_adjustment_layer, but the query nature is clear.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no mention of prerequisites, and no routing to alternatives. An agent is left to infer that this is a read-only predicate to call before adjustment-layer operations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools