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researchTagsAndTitles

Analyze YouTube title structures, keywords, and tag patterns for any seed topic to optimize content strategy and improve video discoverability.

Instructions

Research title structures, keywords, and tag patterns around a seed topic. [~3-10s]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedTopicYes
regionCodeNo
languageNo
maxExamplesNo
dryRunNo
Behavior2/5

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

Provides a latency estimate [~3-10s] which is helpful, but with no annotations and no output schema, the description fails to disclose whether the tool performs read-only queries or writes data (despite having a dryRun parameter), what it returns, or any rate limiting concerns.

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?

Extremely concise with zero fluff; the single sentence and latency annotation are front-loaded and efficient, though the brevity contributes to incompleteness given the lack of structured documentation elsewhere.

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?

Inadequate for a 5-parameter tool with no output schema and no annotations. The description omits what data structure is returned, how maxExamples affects results, and what behavioral constraints (if any) exist beyond the timing hint.

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

Parameters2/5

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

With 0% schema description coverage, the description must compensate but only implicitly references 'seed topic' (mapping to seedTopic). It provides no semantics for regionCode, language, maxExamples, or the critical dryRun flag which suggests potential side effects.

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 the tool researches 'title structures, keywords, and tag patterns' using a seed topic, distinguishing it from sibling analysis tools like analyzePlaylist or inspectVideo which focus on existing content rather than pattern research around a topic.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance provided on when to use this versus similar research-oriented siblings like discoverNicheTrends or exploreNicheCompetitors, nor any mention of prerequisites or 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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