Skip to main content
Glama

Pictory Video

pictory_video

Create, render, preview, and update Pictory videos programmatically. Automate video production from storyboard to final render with job polling and optional webhooks.

Instructions

Create, render, preview, and patch Pictory videos.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesThe operation to execute ('render_storyboard', 'create_preview', 'render_from_preview', 'update_elements', 'render_project', 'poll_job').
job_idNoThe job ID returned from preview, render, or transcription (required for poll_job, render_from_preview, update_elements).
project_idNoThe saved Pictory project ID (required for render_project).
webhook_urlNoOptional webhook URL to receive callback notification on job completion.
elements_payloadNoPartial elements JSON for surgical storyboard updates.
storyboard_payloadNoComplete storyboard JSON definition (videoName, aspectRatio, scenes, voiceOver, etc.).

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 provided, the description carries the full burden of behavioral disclosure. It discloses the general capability set but not important behavioral traits: operations appear to be asynchronous or job-based (poll_job), some actions require prior job IDs, and update_elements patches a storyboard rather than performing a full render. These are meaningful behaviors that an agent would need to understand before invoking the tool.

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 a single concise sentence with no filler, front-loading the resource and core operations. It is appropriately terse, though for a six-operation dispatcher tool it could afford slightly more structure without becoming verbose.

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?

For a multi-action tool with six parameters and an output schema, the description is too thin. It does not explain the relationship between actions, the expected workflow sequence (render_storyboard, create_preview, render_from_preview, render_project), or the polling requirement. The presence of an output schema reduces the need to explain return values, but the missing operational context is a significant gap.

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 is 3. The description itself adds no parameter-level meaning beyond the schema, which already documents each parameter including the action enum values and the conditional need for job_id in certain operations.

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 resource ('Pictory videos') and a clear set of operations ('Create, render, preview, and patch'), which distinguishes it from sibling tools focused on transcribe, assets, projects, and integrations. It is clear at a high level, though it does not explicitly differentiate itself from those siblings or explain what 'patch' means operationally.

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 gives no guidance on when to use this tool versus pictory_projects, pictory_transcribe, or pictory_assets. It does not mention workflow ordering, prerequisites, or exclusion conditions. The action parameter lists possible operations, but the description itself does not help an agent choose this tool over alternatives.

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/softreviewed/pictory-coupon-code-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server