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youtube_reporting_create_job

Create a scheduled job to generate YouTube reports daily. Specify a report type ID to begin receiving automated CSV reports.

Instructions

Schedule a reporting job. Reports will be generated daily.

Once created, YouTube will start generating daily CSV reports for this report type. It may take 24-48 hours for the first report to appear.

Args: report_type_id: Report type ID (from youtube_reporting_list_types) name: Optional human-readable name for the job

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
report_type_idYes
Behavior4/5

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

With no annotations, the description carries disclosure burden. It discloses that reports will be generated daily and that the first report may take 24-48 hours to appear, which are useful behavioral traits. It does not cover permissions, reversibility, or response format, but the disclosed details add meaningful context.

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 about 60 words, structured with a clear purpose statement, behavioral note, and an Args list. Every sentence earns its place, with no redundant or filler content. It is front-loaded with the main action.

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 creation tool, the description covers the purpose, expected frequency, delay, and parameters. It does not specify the return value shape, but given no output schema and the ability to verify via list_jobs, this is a minor gap. Overall the tool is adequately contextualized.

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

Parameters4/5

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

Schema coverage is 0%, so the description's Args section compensates well. It explains that report_type_id comes from youtube_reporting_list_types and that name is an optional human-readable label. This adds meaning beyond the bare property names and types in the 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 opens with 'Schedule a reporting job,' using a specific verb and resource, and distinguishes this from sibling tools by describing the creation behavior. It clearly states that this creates a job that will generate daily CSV reports, which is distinct from listing types, jobs, reports, and downloading.

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 for when to use this tool: when you need to schedule a daily report. It explicitly references youtube_reporting_list_types as a prerequisite for obtaining report_type_id, giving guidance on setup. However, it does not explicitly mention alternatives or exclusions for 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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