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create_scout

Create a monitoring scout to continuously track web changes for any topic and receive alerts when updates are found.

Instructions

Create a monitoring scout for continuous web monitoring. Scouts track changes relevant to a query and alert you. Examples: 'news about Yutori', 'H100 pricing below $1.50'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language description of what to monitor. Examples: 'Tell me about the latest news, product updates, or announcements about Yutori', 'when H100 pricing per hour drops below $1.50', 'anytime a startup in SF announces seed funding'
output_intervalNoSeconds between scout runs. Minimum 1800 (30 minutes). Default: 86400 (daily)
webhook_urlNoHTTPS URL to receive webhook notifications when updates are available. Must use https://. Confirm the URL with the user before setting.
webhook_formatNoWebhook payload format: 'scout' (default), 'slack', or 'zapier'
output_fieldsNoOptional: Extract structured data as an array of objects with these field names. Example: ['headline', 'summary', 'url']. If omitted, returns human-readable text. For complex schemas, call the Yutori REST API directly (see example at: https://docs.yutori.com/reference/scouts-create#using-scheduling-webhooks-and-a-structured-output-schema).
user_timezoneNoTimezone for scheduling. Example: 'America/New_York'. Default: 'America/Los_Angeles'
skip_emailNoIf true, skip email notifications (useful with webhooks)
start_timestampNoUnix timestamp for when monitoring should start (0 = immediately)
user_locationNoUser location for geo-relevant searches. Format: 'city, region, country'
is_publicNoWhether scout results are publicly accessible
Behavior3/5

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

No annotations are provided, so the description must carry the full burden. It explains that scouts track changes and alert you, but does not disclose behavioral details like what triggers alerts, permissions needed, or rate limits. The schema includes webhook and scheduling parameters, but the description omits their behavioral implications.

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 two concise sentences that front-load the main purpose, with no unnecessary words. It earns its place.

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

Completeness2/5

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

Given the complexity (10 parameters) and no output schema, the description is too brief. It covers the basic concept but lacks details on return values, scheduling, webhooks, and other parameter interplay, making it incomplete for an agent to use confidently.

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 description coverage is 100%, so the baseline is 3. The description adds some context through examples but does not significantly enrich parameter understanding 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 tool's purpose: 'Create a monitoring scout for continuous web monitoring. Scouts track changes relevant to a query and alert you.' It uses a specific verb ('Create') and resource ('monitoring scout'), and distinguishes from sibling tools like delete_scout, edit_scout, and list_scouts.

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 the tool ('for continuous web monitoring') and gives example queries. However, it does not explicitly state when not to use it or compare to alternatives, though the purpose is well-implied given the sibling tool names.

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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