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Read a business's website

ugcfans_read_business

Reads a business's website page by page (up to 25 pages) and writes its profile (business.md, every line with the page it came from) and its canonical facts (name, logo, colours, tagline, products with prices, claims; each with its page, and held for a yes where pages disagree or a claim has no proof). Returns a job whose result is a business id; read it with ugcfans_get_business. Free of credits.

Input Schema

NameRequiredDescriptionDefault
urlYesThe business's website address.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations declare the safety profile (readOnlyHint=false, destructiveHint=false, openWorldHint=true, idempotentHint=false), so the description is not burdened with that. It adds real behavioral context beyond them: the 25-page crawl cap, the asynchronous job return model, persistent file writes, and that conflicting or unproven facts are held pending a confirmation. It could still say more about permissions or failure modes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Effectively one dense sentence, but it is front-loaded with the core action and the follow-up tool reference lands at the end where it belongs. The stacked parentheticals are informative rather than redundant, though they make it heavier than it needs to be.

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?

With no output schema, the description correctly carries the return contract: an async job whose result is a business id, plus the tool to read it. The only real gap is the ambiguous 'held for a yes' phrasing, which leaves the human-confirmation workflow underspecified for an agent.

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% with a single fully documented 'url' parameter, so the baseline is 3. The description adds no URL format, canonicalization, or scheme guidance beyond what the schema already states ('The business's website address.').

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?

States a specific verb and resource ('Reads a business's website page by page') and goes further by naming the artifacts produced (business.md profile and canonical facts). This clearly separates it from sibling tools like ugcfans_capture_website, ugcfans_find_business, and ugcfans_get_business.

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?

Gives clear context: it returns a job whose result is a business id, and explicitly routes the agent to ugcfans_get_business to read that result, plus notes it is 'free of credits'. It does not, however, state when to prefer this over lookalikes such as ugcfans_capture_website or ugcfans_find_business, so no exclusion guidance.

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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