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get_instagram_transcript

Extract transcript from Instagram video or reel. Submit the URL to receive a timestamped, speaker-labeled transcript via AssemblyAI.

Instructions

Extract transcript from Instagram video/reel using AssemblyAI.

Args:
    url: Instagram post or reel URL (e.g., https://instagram.com/p/ABC123/ or https://instagram.com/reel/XYZ789/)
    assemblyai_api_key: AssemblyAI API key (optional if ASSEMBLYAI_API_KEY environment variable is set)

Returns:
    The transcript text with timestamps and speaker labels

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
assemblyai_api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 return format (timestamps and speaker labels) and the API key fallback to environment variable, but does not mention potential side effects, error conditions, or network/processing behavior. This is adequate but not rich.

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 concise, well-structured with Args and Returns sections, and front-loaded with the main purpose. Every sentence provides useful information without unnecessary verbosity.

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?

For a simple two-parameter tool with an output schema (even if not shown), the description covers the essential usage details and return format. It lacks some edge-case handling (e.g., invalid URLs, missing API key errors), but the core operational context is complete.

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

Parameters5/5

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

Schema coverage is 0%, and the description fully compensates by explaining both parameters: the 'url' parameter with concrete examples and the 'assemblyai_api_key' parameter with its optionality and environment variable fallback. This adds significant meaning beyond the bare schema.

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 function: 'Extract transcript from Instagram video/reel using AssemblyAI.' It identifies a specific verb ('Extract') and resource (Instagram video/reel), and distinguishes the tool's purpose even without siblings.

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 provides clear context on how to use the tool, including URL formats and the optional API key behavior. It doesn't explicitly mention when not to use it or compare with alternatives, but since there are no sibling tools, the usage context is sufficiently clear.

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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