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Audience Resolver MCP by Nova (CIVAI)

upload_publisher_video

Upload a video (mp4/webm/mov, up to 200MB) into the publisher-bound AR project's asset library via video_url. Returns asset_id for linking to a calendar row (linked_asset_id).

Input Schema

NameRequiredDescriptionDefault
video_urlYesPublic https URL to download the video from (mp4/webm/mov, up to 200MB).
publisher_pidYesProject id from list_projects or create_project.
upload_captionNoOptional asset caption stored on the AR asset row.
upload_filenameNoFilename hint with extension (e.g. launch-promo.mp4).
notification_messageNoShort user-facing sentence for this action if the follow-up reply fails. Plain text only; do not mention template syntax or variable names.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description does carry useful behavioral detail: the file is fetched from a public URL (download-then-ingest), accepts mp4/webm/mov up to 200MB, and returns an asset_id used downstream as linked_asset_id. It does not say whether the video is copied into the project, how long ingestion takes, what happens on failure, or whether re-uploading overwrites an existing asset.

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 dense sentences with constraints and return value front-loaded, and zero filler. Every clause carries operational information (format, size, source mechanism, output handle).

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?

For a 5-parameter ingestion tool with full schema coverage and no output schema, the description covers source, constraints, and the returned handle needed to chain into create_calendar_row/update_calendar_row. What's missing are error/retry semantics and any note on whether large uploads are asynchronous.

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?

Schema coverage is 100%, so parameter definitions already do the heavy lifting and the baseline would be 3. The description goes beyond the schema by naming the return value (asset_id) and its relationship to another tool's parameter (linked_asset_id), which no property description states.

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?

States a specific verb and resource: upload a video into the publisher-bound AR project's asset library, with format and size constraints inline. The media type (video) and destination (publisher AR asset library) distinguish it from siblings like upload_publisher_image, asset_from_drive, and upload_project_drive_file without needing to name them.

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?

Implicit usage is discernible: you have a public https video URL and want it in the AR asset library, and the returned asset_id is meant to feed linked_asset_id on a calendar row. However, there is no explicit 'use this instead of X when...' routing against asset_from_drive or upload_publisher_image, and no stated prerequisites beyond the URL itself.

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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