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bartivs

yt-media-info-mcp

by bartivs

extract_info

Extract rich metadata from media URLs: title, description, duration, chapters, subtitles, statistics, and more. Supports authentication and raw data inclusion.

Instructions

Extract rich metadata from a media URL (title, description, duration, formats, chapters, subtitles, statistics, and more)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesMedia URL to extract information from
passwordNoPassword for site authentication
usernameNoUsername for site authentication
include_rawNoInclude the full yt-dlp info_dict under a "raw" field
Behavior3/5

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

No annotations provided, so the description carries the full burden. It implies a read operation ('Extract') and lists metadata fields, but does not disclose authentication requirements, rate limits, error handling, or limitations. It mentions 'and more' vaguely.

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, front-loaded with the operation, and includes a representative list. No unnecessary words or repetition.

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 4 parameters, no output schema, no annotations, and two siblings, the description gives a good overview but lacks usage context, return format details, and potential constraints (e.g., auth, rate limits). Adequate but incomplete.

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?

Schema coverage is 100%, so each parameter already has a description. The tool description adds an overview of the extracted metadata but does not elaborate on parameter usage beyond the schema. Baseline of 3 is appropriate.

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 action ('Extract') and specific resource ('rich metadata from a media URL'), including a list of extracted items (title, description, duration, etc.), which distinguishes it from siblings get_transcript and search_media.

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 on when to use this tool versus alternatives. No mention of prerequisites, context, or exclusions. Agent must infer usage from the description alone.

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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