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hyperframes_to_mcpvideo

Render a Hyperframes composition and apply post-processing operations like resize to produce a final video file.

Instructions

Render a Hyperframes composition and post-process with mcp-video in one step.

Args: project_path: Absolute path to the Hyperframes project directory. post_process: List of post-processing operations, each with 'op' and 'params' keys. Example: [{"op": "resize", "params": {"aspect_ratio": "9:16"}}] output_path: Where to save the final output. Auto-generated if omitted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_pathYes
post_processYes
output_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the burden. It discloses the basic action but omits behavioral traits like side effects, intermediate files, permissions, or error handling. Limited transparency for a tool with no annotations.

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?

The description is concise with a clear purpose sentence followed by an Args list. It is well-structured and front-loaded, though the example could be integrated more tightly.

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?

Given the output schema exists, the description adequately covers the tool's purpose and parameters. It explains the combined workflow but could add a brief note on typical usage scenarios or return value format.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description provides useful parameter semantics: 'absolute path' for project_path, example for post_process, and auto-generated output for output_path. This compensates well but could specify valid ops.

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 specific verb and resource: 'Render a Hyperframes composition and post-process with mcp-video in one step.' This distinguishes it from sibling hyperframes and video tools by combining two operations.

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 (combining two steps) but does not explicitly state when to use this tool versus performing the steps separately. No exclusions or alternatives are mentioned.

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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