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Pictory Transcribe

pictory_transcribe

Transcribe long-form videos and podcasts, then automatically extract viral short clips for Shorts, Reels, and TikToks.

Instructions

Transcribe long-form videos/podcasts and automatically extract viral short clips (Shorts/Reels/TikToks).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYes'create_transcription', 'get_transcription_job', 'generate_highlights', 'generate_highlights_from_transcript'.
job_idNoTranscription job ID (required for get_transcription_job and generate_highlights).
languageNoSpeech language code (default: 'en-US').en-US
video_urlNoPublic URL of the video or audio file to transcribe or clip.
webhook_urlNoOptional webhook URL for completion callback.
max_durationNoMaximum duration of generated highlight clips in seconds (default: 60).
transcript_textNoCustom transcript string (for generate_highlights_from_transcript).
highlight_settingsNoOptional settings dictionary for highlight extraction.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description must carry the full behavioral disclosure burden. It does not mention that transcription is job-based via job_id, that webhook_url is supported, or that highlight extraction requires an explicit action. The phrase 'automatically extract' is slightly misleading because the schema requires a separate action.

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 one front-loaded sentence with no filler, listing the two main outcomes in order of importance. It is concise, though it sacrifices operational detail.

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?

This is an 8-parameter multi-action tool with no annotations, yet the description provides only a one-line overview. An agent would not know that certain actions require job_id, that transcript_text applies only to generate_highlights_from_transcript, or that clip generation has its own workflow; the output schema does not compensate for that missing invocation context.

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 baseline applies; the schema already documents job_id, video_url, max_duration, and the other parameters. The description adds only loose context ('long-form', 'viral short clips') and no action-specific parameter guidance.

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 clear action, 'Transcribe long-form videos/podcasts', and a secondary outcome, 'extract viral short clips'. It does not explicitly contrast siblings like pictory_video or enumerate the action parameter's modes, so it ffall short of 5.

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 guidance on when to use this tool instead of siblings, and no advice about which action value matches which workflow. The only implicit signal is the transcription/clip phrasing, which is insufficient for a multi-action tool.

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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