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Search Public Platforms

search_public

Find videos on TikTok, YouTube, and Instagram by describing what you need in natural language. Ideal for content research and discovery.

Instructions

Search for videos on public platforms (TikTok, YouTube, Instagram) using semantic natural language queries. Great for content research and discovery.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language search query
platformNoPlatform to search (default: YOUTUBE)
top_kNoNumber of results (default: 10)
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as authentication requirements, rate limits, or response format. It only states it performs a search, which is read-only, but lacks further detail.

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, front-loads the verb and resource, and contains no wasted words. It is appropriately sized and easy to parse.

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?

Given the many sibling search tools, the description fails to differentiate when to use this tool versus others. It also does not describe the return value, which is important since there is no output schema.

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?

The input schema has 100% description coverage, so the baseline is 3. The description adds 'semantic natural language queries' for context but does not provide additional details beyond what the schema already includes for each parameter.

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 clearly states it searches for videos on public platforms using semantic natural language queries, naming specific platforms. However, it does not distinguish itself from sibling tools like search_videos or search_audio, which could also search for videos or audio content respectively.

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?

The description mentions 'Great for content research and discovery,' implying a use case, but it does not provide explicit guidance on when not to use this tool or suggest alternatives among the many sibling search tools.

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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