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create_agent_schedule

Create recurring social media reports on a daily, weekly, monthly, or one-time schedule with email and Slack notifications.

Instructions

Create a recurring Rolli Agent report that runs on a cron-like cadence (daily, weekly, monthly, or one-time) with optional email and Slack notifications.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesUser-friendly name
questionYesThe recurring question for the agent
recurrence_typeYesSchedule cadence
recurrence_timeYesTime of day in HH:MM format (e.g., "09:00")
recurrence_timezoneYesIANA timezone (e.g., "America/New_York")
starts_atYesISO 8601 timestamp when the schedule becomes active
recurrence_day_of_weekNo0–6 for weekly schedules (0 = Sunday)
recurrence_day_of_monthNo1–31 for monthly schedules
ends_atNoISO 8601 timestamp when the schedule stops
available_creditsNoReasoning effort for each run: 1=low, 2=medium (default), 3=high, 4=max
modeNoInvestigation mode (default: trend_briefing)
time_windowNoTime window per run (default: 7d)
platformsNoPlatforms to search
max_postNoPosts per platform per run (default: 50)
notify_emailNoEmail address for run notifications
notify_slack_webhookNoSlack webhook URL
notify_slack_channel_idNoSlack channel ID
slack_bot_tokenNoSlack bot token
slack_team_idNoSlack workspace ID
slack_team_nameNoSlack workspace name
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions recurrence and notifications but omits details like immediate activation, permission requirements, or side effects. For a creation tool, more behavioral context is needed.

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 a single, well-structured sentence that frontloads key information. Every word earns its place, with no redundancy or filler.

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's complexity (20 parameters, no output schema), the description provides minimal context beyond creation. Missing details like startup behavior, default handling, and return value reduce completeness, but the schema fills gaps.

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 the baseline is 3. The description adds value by naming email and Slack fields, but does not significantly enhance understanding of parameters like available_credits or time_window beyond 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 clearly states the verb 'Create' and the resource 'recurring Rolli Agent report', specifying the cadence types and notification options. It effectively distinguishes this tool from sibling tools like update_agent_schedule and delete_agent_schedule.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use (for creating recurring reports) but does not explicitly provide when-not-to-use guidance or compare with alternatives like update_agent_schedule or pause_agent_schedule. The usage context is clear but lacks exclusions.

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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