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CreatorDB

creatordb-mcp-server

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by CreatorDB

get_youtube_sponsorship

Retrieve sponsored content from a YouTube creator grouped by brand. Returns brand names, Instagram handles, and video performance for recent posts.

Instructions

Get a YouTube creator's sponsored content grouped by brand. Returns sponsorList: [{ brandName, brandId, brandIgIds, sponsoredVideos, sponsoredVideosPerformance }]. brandIgIds are the brand's Instagram handles — useful to pivot from a sponsored creator back to the brand's own IG profile. sponsoredVideos carries per-item engagement (same shape as content-detail). CAVEAT: only scans the most recent ~20–30 posts AND only detects brands already indexed in CreatorDB — an empty sponsorList is NOT proof of no sponsorships. Costs 5 credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
channelIdYesYouTube channel ID (the immutable UC… form, e.g. "UCX6OQ3DkcsbYNE6H8uQQuVA"). "@handle", "/c/vanity", and "/user/legacy" URLs are NOT accepted here — resolve them to a UC channelId first.
Behavior4/5

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

No annotations provided, but the description covers limitations (only recent posts, only detected brands), cost, and return shape. It lacks mention of authorization requirements.

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 slightly long but all sentences add value. It is front-loaded with purpose, then details, then caveats, making it efficient despite length.

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?

Given only 1 parameter, no output schema, and no annotations, the description covers all necessary aspects: input requirements, output structure, caveats, and cost. It is fully complete for correct tool usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema coverage is 100% and the description adds crucial meaning beyond the schema, specifying the exact format of channelId (UC… form) and what is not accepted.

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 clearly states the verb 'Get' and the resource 'YouTube creator's sponsored content grouped by brand'. It specifies the return structure and caveats, and the tool name distinguishes it from siblings by platform.

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 provides clear context on when to use (for YouTube sponsorship data) and includes caveats about scope and cost, but does not explicitly contrast with alternative tools like get_instagram_sponsorship.

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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