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get_shorts_analytics

Retrieve YouTube Analytics data filtered to Shorts content for your channel. Specify date range, metrics like views and watch time, and optional dimensions such as day for time series analysis.

Instructions

Query YouTube Analytics restricted to Shorts for the authenticated channel. Applies filters=creatorContentType==SHORTS on top of the usual start_date/end_date/metrics/dimensions knobs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateYesYYYY-MM-DD start date (inclusive).
end_dateYesYYYY-MM-DD end date (inclusive).
metricsNoComma-separated YouTube Analytics metrics.views,estimatedMinutesWatched,averageViewDuration,subscribersGained
dimensionsNoOptional dimensions, e.g. 'day' for a time series.
sortNo
max_resultsNo
Behavior3/5

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

No annotations provided, so description carries full burden. States the filter applied but lacks details on response format, pagination, error handling, or rate limits. Adequate for a query tool but not comprehensive.

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?

Two sentences, front-loaded with purpose. No unnecessary words. Efficient and clear.

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?

Brief but sufficient for a query tool with standard parameters. Lacks description of return format and edge cases. Could be more complete given no output schema.

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 67% (4 of 6 parameters have descriptions). Description does not add meaning beyond schema, just references 'usual knobs'. Baseline score 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?

Clearly states it queries YouTube Analytics restricted to Shorts for the authenticated channel, with a specific filter. Distinguishes from sibling tools like query_channel_analytics and list_my_shorts.

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?

Mentions the filter and usual knobs, implying it's for Shorts-specific analytics. Does not explicitly state when not to use or compare to siblings, but context makes it 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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