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CatchAll (by NewsCatcher)

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create_monitor

Automate your search by creating a recurring monitor from a completed job. Re-run the job's query on a natural language schedule.

Instructions

Create a recurring monitor from a completed job.

Monitors re-run a job's query on a schedule. Use the explore -> refine -> automate pattern: submit a job, refine until results match, then create a monitor.

The schedule is defined in natural language (e.g., 'every day at 9 AM EST'). Always include a timezone (in the schedule text or via the timezone arg). API-enforced constraints apply:

  • If backfill=true, reference job end_date must be within the last 7 days

  • If backfill=false, reference job age does not matter

  • Minimum schedule frequency depends on your plan

Webhooks are now centralized: register them with create_webhook, then pass their IDs here via webhook_ids (there is no inline webhook config anymore).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoOptional max records per run (minimum 10). If omitted, API uses plan default.
api_keyNoCatchAll API key. Optional if provided via x-api-key header or CATCHALL_API_KEY env var.
backfillNoOptional gap-fill toggle before first run (default true).
scheduleYesNatural language schedule (e.g., 'every day at 9 AM EST', 'every Monday at 8 AM UTC', 'every 48 hours')
timezoneNoOptional IANA timezone for the schedule (e.g. 'America/New_York'). Defaults to UTC. A timezone written into the schedule text overrides this.
project_idNoOptional project ID to associate this monitor with.
webhook_idsNoOptional list of webhook IDs to notify on each run completion (max 5).
reference_job_idYesID of a completed job to use as the template

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

No annotations provided, so description carries full burden. It discloses key behaviors: monitors re-run a job's query, schedule expressed in natural language, backfill constraints, frequency limits, and centralized webhooks. No contradictions.

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?

Well-structured: purpose statement first, then usage pattern, then behavioral details. Each sentence is informative. No redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers creation pattern, schedule semantics, constraints, and webhook integration. Output schema exists, so return values are documented. Complete for a complex tool with 8 parameters.

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% with detailed descriptions. Description adds value by explaining the overall pattern and webhook centralization, which contextualizes the webhook_ids parameter. Scores above baseline 3.

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 monitor from a completed job.' It uses a specific verb and resource, and the context of sibling monitor tools (list, update, delete) distinguishes this creation tool.

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?

Describes the explore-refine-automate pattern, indicating when to use this tool (after job refinement). Does not explicitly state when not to use it, but the pattern and sibling list provide enough context.

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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