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search_knowledge

Read-only

Search your personal knowledge corpus from YouTube, Instagram, web, and more. Returns recent results with taint warnings.

Instructions

Full-text search over your personal BrainTube knowledge corpus. Searches across YouTube, Instagram, web, LinkedIn, GitHub, Twitter and more. Returns results ranked by recency with taint warnings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results to return (default 5, max 20)
queryYesNatural language search query. Examples: "LLM security", "habit formation", "Andrew Huberman sleep", "AI agents"

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
taint_levelYes
taint_warningNo
Behavior4/5

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

Annotations already declare readOnlyHint=true. Description adds that results are ranked by recency and include taint warnings, providing useful behavioral context beyond annotations.

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?

Single sentence that is front-loaded, concise, and contains no extraneous information.

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?

Given that an output schema exists and parameters are well-documented, the description covers purpose, sources, ranking, and taint warnings adequately. Lack of detail on 'taint warnings' is minor since output schema likely describes result structure.

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?

Both parameters (query, limit) have descriptions in the schema. Description does not add additional parameter-specific meaning beyond what schema already provides.

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?

Description clearly states it performs full-text search over the personal BrainTube corpus across multiple sources (YouTube, Instagram, web, LinkedIn, GitHub, Twitter, etc.). However, it does not explicitly differentiate itself from sibling search tools like search_by_source or deep_search.

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?

Implies usage for cross-source search but provides no guidance on when not to use or alternatives. No mention of when to use dedicated source-specific tools instead.

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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