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Save a business as a brand kit and products

ugcfans_save_business

Saves the facts that stand (taken from the site, or confirmed by the person) as a brand kit and products with their pictures, and keeps business.md and facts.json in the library for later makers. Facts that wait for a yes are not saved. Free.

Input Schema

NameRequiredDescriptionDefault
businessYesThe business id from the finished ugcfans_read_business job.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already establish non-destructive, non-read-only, non-idempotent behavior, so the bar is lower; the description adds real context on what is written (brand kit, products with pictures, business.md, facts.json kept "for later makers"), which facts are excluded (unconfirmed ones), and that it is free. It does not address repeat-save/duplicate behavior despite idempotentHint=false.

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

Conciseness3/5

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

It is short and front-loads the verb, but the idiosyncratic phrasing ("the facts that stand," "facts that wait for a yes," "later makers") costs clarity, and the trailing "Free." fragment is awkwardly attached. Not wasteful in length, but not maximally crisp.

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?

For a single-parameter write tool with full schema coverage, annotations covering the safety profile, and no output schema, the description adequately covers what is produced and which inputs qualify. The main remaining gap is repeat-save/idempotency behavior.

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?

With a single parameter and 100% schema description coverage, the schema already explains that "business" is the id from a finished ugcfans_read_business job. The description adds nothing about the parameter, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description leads with a specific verb+resource ("Saves ... as a brand kit and products") and names the concrete artifacts produced (business.md, facts.json). It is clearly distinguishable from read-side siblings like ugcfans_read_business or ugcfans_get_business, though it never names an alternative explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than stated: it depends on "the finished ugcfans_read_business job" and only persists facts that "stand," while "Facts that wait for a yes are not saved" scopes the inputs. There is no explicit when-to-use vs when-not guidance and no mention of prerequisites or alternatives such as ugcfans_save_asset.

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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