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aigentive
by aigentive

create_video_session

Initiate a Gemini conversational session to analyze a YouTube video or local file, with customizable context and model.

Instructions

Create new conversational video analysis session.

Args: description: Session context/purpose video_source: YouTube URL or local video file path model: Gemini model to use session_name: Optional friendly name source_type: "youtube_url" (default) or "local_file"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYes
video_sourceYes
modelNogemini-2.5-flash
session_nameNo
source_typeNoyoutube_url

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Without annotations, the description carries full burden for behavioral disclosure. It only lists parameters and does not mention side effects, failure modes, or operational constraints (e.g., whether creating a session is idempotent or what happens with invalid inputs).

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 starts with a clear purpose statement and uses a structured Args format. It is reasonably concise, though the parameter list could be more compact.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 5 parameters and an output schema, the description omits any explanation of the return value or how the created session is used afterward. This leaves the agent without a complete usage context.

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?

With 0% schema description coverage, the description's parameter explanations add some value (e.g., 'YouTube URL or local video file path' for video_source). However, descriptions are terse and lack detail; for example, 'Session context/purpose' is minimally informative.

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 explicitly states 'Create new conversational video analysis session', clearly identifying the verb and resource. This distinguishes it from sibling tools like 'analyze_local_video' or 'close_session'.

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 is provided on when to use this tool versus alternatives such as 'analyze_video_in_session' or 'validate_youtube_url'. There is no discussion 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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