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Add a video

add_video

Imports a video FILE from a link (a direct .mp4/.mov/.webm url, not a page that plays it), any size the user's storage allows. Runs in the background: returns a task_id; poll get_task until complete, when generation_id is the clip. density (quick|normal|detailed) also indexes it for search (clips up to 180 s, costs credits). metadata = your own fields (max 4 KB), returned on every read. The same file already in the project is not stored twice: the task completes with the existing clip. Counts against storage. Every clip gets a light 1080p editing copy, made in the background (counts toward storage; none when the file already is 1080p H.264). keep_original:false then drops the uploaded original to save space, but the clip is 1080p from then on; default keeps it.

Input Schema

NameRequiredDescriptionDefault
urlYes
nameNo
promptNo
densityNo
metadataNo
project_idNo
keep_originalNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / keep_original
      Added value: +{
      +  "type": "boolean"
      +}
  2. Changed1 schema field changed
    • addedInput schema / properties / metadata
      Added value: +{
      +  "type": "object"
      +}
  3. Added

TDQS

A4.1/5.0
Behavior5/5

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

Annotations only say it is a non-read-only, non-destructive operation, but the description discloses far more: async execution returning a task_id, dedup behavior (same file completes with the existing clip), storage accounting, backend 1080p editing-copy creation, and the irreversible consequence of keep_original:false ('the clip is 1080p from then on'). This is exactly the behavioral context annotations cannot carry.

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?

Front-loaded with the import action and its input constraint, and almost every clause carries new information (dedup, task polling, editing copy, keep_original). It is dense and semicolon-chained rather than bulleted, making it harder to scan than it needs to be, but there is little pure filler.

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?

With no output schema and 0% schema coverage on seven parameters plus an async workflow, the description does substantial work: it covers the return contract (task_id → get_task → generation_id), dedup, cost, storage, and the original-retention tradeoff. The unexplained name/prompt/project_id parameters are the remaining 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 coverage is 0%, so the description must carry the load; it explains density (quick|normal|detailed, 180 s cap, credit cost), metadata (own fields, 4 KB max, returned on reads), keep_original, and the url constraint. However name, prompt, and project_id are never mentioned, leaving three of seven parameters undocumented anywhere.

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?

Opens with a specific verb+resource: 'Imports a video FILE from a link', and even scopes the accepted input ('a direct .mp4/.mov/.webm url, not a page that plays it'). It is clear this is an import rather than a generation, but no sibling such as generate_video or add_image is named, so the contrast is left implicit.

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?

Gives clear applicability context (direct media URL, any size storage allows) and an explicit negative case ('not a page that plays it'), plus the operational path of polling get_task until complete. It never states when to prefer generate_video or add_image instead, so alternative-routing guidance is absent.

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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