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create_proxy_media

Generate low-resolution proxy versions of high-resolution media to improve editing performance in Adobe Premiere Pro.

Instructions

Generates low-resolution proxy versions of high-resolution media to improve editing performance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectItemIdsYesAn array of IDs of the project items to create proxies for
proxyPresetYesThe name of the proxy preset to use
replaceOriginalsNoWhether to replace original media with proxies
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the tool 'Generates' proxies and 'improve editing performance', but lacks details on permissions, side effects (e.g., whether original media is altered), rate limits, or response format. For a mutation tool with zero annotation coverage, this is a significant gap.

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, efficient sentence that front-loads the core action and purpose. Every word earns its place, with no redundancy or unnecessary elaboration, making it easy to parse quickly.

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?

Given the tool's complexity (a mutation operation with 3 parameters), lack of annotations, and no output schema, the description is incomplete. It doesn't cover behavioral traits, error conditions, or output details, leaving gaps for an AI agent to understand full implications.

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 description coverage is 100%, so the schema already documents all three parameters. The description adds no additional meaning beyond what's in the schema, such as explaining proxy preset options or implications of 'replaceOriginals'. Baseline 3 is appropriate 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?

The description clearly states the tool's purpose with a specific verb ('Generates'), resource ('low-resolution proxy versions of high-resolution media'), and benefit ('to improve editing performance'). It distinguishes itself from siblings like 'import_media' or 'color_correct' by focusing on proxy creation for performance optimization.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing existing media), exclusions, or compare with other tools like 'stabilize_clip' or 'apply_effect' that might also affect media processing. Usage context is implied but not explicit.

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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