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AbyAbyss

ffmpeg-mcp-video-editor

by AbyAbyss

List ffmpeg capabilities

list_capabilities
Read-onlyIdempotent

Discover which ffmpeg encoders and filters are available in this build, so you can avoid unsupported hardware encoding or filters.

Instructions

Report the resolved ffmpeg build and which encoders and filters it has.

Use this before assuming something is available — hardware encoding (videotoolbox, nvenc, qsv), newer filters like xfade, or this server's optional Whisper and vision extras. Answers immediately.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
check_filtersNoFilter names to test for, e.g. ['xfade', 'libvmaf'].
check_encodersNoEncoder names to test for, e.g. ['h264_videotoolbox', 'libx265'].

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceYesHow the binary was found: configured, cached, system, or downloaded.
versionYes
ffmpeg_pathYes
ffprobe_pathYes
filters_availableNo
hardware_encodersNo
optional_featuresNoAvailability of this server's Python extras: whisper, vision.
encoders_availableNo
Behavior4/5

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

Annotations already declare readOnly, idempotent, and non-destructive. The description adds behavioral context about what it reports (resolved build, encoders, filters, optional extras) and states 'Answers immediately', which is useful beyond the annotations. No contradiction and adds value.

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?

Two sentences, front-loaded with the main function and immediately followed by usage guidance. Every word earns its place; no fluff or repetition.

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

Completeness5/5

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

For a simple read-only query tool with an output schema, the description fully covers purpose, scope, and usage timing. No need to explain return values since output schema exists. It is complete for its complexity.

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% – both 'check_filters' and 'check_encoders' are well documented. The description aligns with these parameters but does not add any additional meaning beyond the schema. Baseline 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 uses a specific verb ('Report') and clearly identifies the resource ('resolved ffmpeg build', 'encoders and filters'). It also mentions optional extras (Whisper, vision), which distinguishes it from all the media processing siblings. The purpose is unambiguous.

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

Usage Guidelines4/5

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

The description explicitly states when to use it ('Use this before assuming something is available') and provides concrete examples (hardware encoders, filters, extras). It does not mention exclusions or alternative tools because not needed – this is the go-to capability query. Clear context but lacks an explicit when-not clause.

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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