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create_schedule

Schedule recurring website audits by defining a cron expression. Automate daily accessibility checks, weekly competitor diffs, or post-deploy smoke audits. Set alert triggers for failures or score drops.

Instructions

[schedule] Create a recurring audit on a cron schedule. Best for daily a11y regression checks, weekly competitor diffs, post-deploy smoke audits. Returns id + next_run_at. Set alert_on_fail / alert_on_score_drop + score_threshold to trigger webhook_url + email_recipients alerts. Counts against monthly quota.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe website URL to audit
modeNoAudit depth mode (default: basic)
cron_expressionYesCron expression (e.g., '0 9 * * 1' for Mondays at 9am)
nameYesName for this schedule
enabledNoWhether the schedule is enabled (default: true)
alert_on_failNoAlert if audit fails (default: true)
alert_on_score_dropNoAlert if score drops (default: false)
score_thresholdNoAlert if score drops below this threshold (0-100)
webhook_urlNoOptional webhook URL for alerts
email_recipientsNoOptional comma-separated email addresses for alerts

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Description adds behavioral details beyond annotations: counts against monthly quota, returns id + next_run_at, and explains alert trigger mechanism. No contradictions with annotations.

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 and use cases, no redundant information. Every sentence adds value.

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?

Covers purpose, use cases, alert configuration, and quota. Mentions return value. Lacks error handling or prerequisites, but adequate for a create tool with good schema and output schema.

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 100%, so baseline is 3. Description adds value by grouping alert parameters and explaining their combined effect, going beyond individual schema descriptions.

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?

Description clearly states 'Create a recurring audit on a cron schedule' and gives specific use cases like 'daily a11y regression checks, weekly competitor diffs, post-deploy smoke audits', distinguishing it from one-time audit tools like run_audit.

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?

Description provides strong usage context (e.g., 'Best for daily a11y regression checks') and mentions quota impact, but does not explicitly contrast with siblings like run_audit or update_schedule.

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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