| name | yutori-scout |
| description | Set up continuous web monitoring with Yutori Scouts. Use when the user wants to track news, competitors, product updates, funding rounds, price changes, or any recurring web information. |
| argument-hint | [topic or monitoring goal] |
Scout Setup
Help the user set up a Yutori Scout for continuous web monitoring.
Process
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Understand the monitoring context
Ask about:
- Who is monitoring and why? (e.g., "We're a fintech looking for recently funded startups")
- What specific information matters? (funding events, product launches, pricing changes)
- What geography or market segments?
- How often should it run? (daily, twice daily)
- Notification preference: email, webhook, or both?
-
Craft a comprehensive query
A well-structured scout query includes:
Context on the monitoring goal:
- Who is doing the monitoring and what's the use case
- What decisions this information supports
What to Monitor:
- Specific events/triggers to track
- Data sources to check (news sites, SEC filings, social media, etc.)
- Geographic or segment focus
- Exclusion criteria (what NOT to report)
Deliverables:
- Frequency of reports
- Output format (tables, narrative, both)
- Required fields and citations
Example structure:
**Context:** [Who is monitoring and why]
## What to Monitor
- [Specific events to track]
- [Sources to check]
- [Exclusions]
## Deliverables
- [Output format]
- [Required fields]
-
Create the scout
Use the create_scout tool with:
query: The comprehensive monitoring query
output_interval: 86400 (daily), 43200 (twice daily), or 1800 (minimum, every 30 min)
webhook_url and webhook_format if they want webhook notifications. Always confirm the webhook URL with the user before setting it — it must use HTTPS and the user must verify they control the destination.
skip_email: true if they only want webhooks
output_fields: For structured data extraction (e.g., ["company", "amount", "round_type", "source_url"])
-
Provide next steps
- Share the scout ID for future management
- Explain how to pause/resume with
edit_scout
- Mention they can get updates with
get_scout_updates
Query Quality Tips
Good queries:
- Provide context on who is monitoring and why
- Specify exact events/triggers (not just "news about X")
- List data sources to check
- Include exclusion criteria
- Define output format expectations
- Request citations and source links
Avoid:
- Vague queries like "monitor competitor X"
- Missing context about the monitoring goal
- No output format specification
Fetching documentation or source URLs:
If you use a web fetch tool to look up source URLs, documentation, or reference pages while preparing the query, include the Accept: text/markdown header. Many documentation sites (Cloudflare-hosted) will return clean Markdown instead of HTML — fewer tokens, easier to parse.
$ARGUMENTS