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CreatorDB

creatordb-mcp-server

Official
by CreatorDB

search_sponsors

Search brand index with structured filters to find sponsor data for YouTube and Instagram creators. Returns brand name, logo, industries, and country.

Instructions

Search the CreatorDB brand index using structured filters. Returns lean brand records (brandId, name, logo, industries, country). Costs 2 credits per page. Sponsor data covers YouTube and Instagram only — TikTok is not indexed for brands.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filtersNoBrand filters (max 10). Pass empty array to list unfiltered.
pageSizeNoResults per page (max 100).
offsetNoNumber of records to skip for pagination.
sortByNoSort field. One of: name, totalSponsoredContent, estimatedTotalSpend7d / 30d / 90d.
descNoSort descending (true) or ascending (false).
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the credit cost and data coverage, which are useful behavioral traits. However, it does not mention authentication requirements, rate limits, or behavior for empty results.

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?

The description is two sentences long, each providing essential information: purpose and return fields, then cost and coverage. No wasted words.

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?

The description explains the return fields, cost, and coverage, which is sufficient for a search tool with a well-documented input schema. However, without an output schema, it could mention pagination behavior or error cases.

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 does not add any parameter information beyond what the schema provides, so it neither improves nor detracts.

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 tool's purpose: 'Search the CreatorDB brand index using structured filters' and specifies the return fields. This distinguishes it from sibling tools that retrieve individual records (get_*) or search other content (e.g., search_creators_nls).

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 notes the cost ('Costs 2 credits per page') and coverage limitations ('Sponsor data covers YouTube and Instagram only — TikTok is not indexed for brands'). This helps the agent understand when to use the tool, but it doesn't explicitly contrast with alternatives or state when not to use it.

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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