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DatalisHQ

ZuckerBot

by DatalisHQ

zuckerbot_enrich_business

Crawl a business website to extract structured intelligence for campaign planning. Use before campaign creation or after site updates to refresh stale context.

Instructions

Crawl a business website and extract structured intelligence used by campaign planning: company description, services, pricing signals, testimonials, location data, and brand tone. Run this before creating a campaign when the business has not been enriched yet, or use force_refresh after a website update to refresh stale context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoOptional website URL override. Uses the stored business website when omitted.
business_idNoOptional business ID override
force_refreshNoRe-scrape even when cached context exists
Behavior3/5

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

Without annotations, the description carries full burden. It discloses the crawling and extraction behavior and the force_refresh option, but lacks details on potential failures, side effects (e.g., data modification), or output format. Adequate but incomplete.

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 effectively convey core purpose and usage guidance with no redundant words, making it easy for an agent to parse.

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?

The description covers the main purpose and usage but lacks details on return value structure, error handling, or prerequisites (e.g., needing a stored business). Given no output schema, the description should provide more context for completeness.

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% and schema descriptions already explain parameters well. The description adds context for force_refresh usage but doesn't significantly extend beyond the schema, meeting the baseline for high coverage.

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 explicitly states the action ('crawl and extract') and the resource ('business website') with detailed output examples (company description, services, etc.), clearly distinguishing it from sibling tools like research_reviews or research_competitors.

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 guidance on when to use the tool ('before creating a campaign when the business has not been enriched') and when to use force_refresh, but does not explicitly mention when not to use it or list alternatives.

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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