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ORYKSA AI Employees

Set up the AI agent for the business

oryksa_setup_business
Idempotent

Creates or updates the AI support agent of the business: business name, agent name, description, services, prices, languages, tone, conversation goal and restrictions. Fields that are not sent are left unchanged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toneNo
pricesNoService or product -> price text, e.g. {"Haircut": "15 EUR"}
countryNo
servicesNo
timezoneNoIANA timezone, e.g. Europe/Lisbon
languagesNoLocale codes the agent speaks, first = main. e.g. ["pt-PT", "en-GB"]
agent_nameNoName the assistant uses with customers, e.g. 'Sofia'
restrictionsNoWhat the agent must never say or promise
business_nameNo
developer_refNoOptional: the developer's ORYKSA referral code, if they have one. Stamped once on the account (future partner programme).
message_styleNo
conversation_goalNoWhat a good conversation ends with (book, qualify a lead, answer and send link...)
business_descriptionNoWhat the business does, for whom, where, opening hours, contacts. Plain facts.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already mark the call as idempotent and non-destructive; the description adds the concrete partial-update behavior ('Fields that are not sent are left unchanged') and the upsert nature ('Creates or updates'). This gives an agent the key behavioral trait not visible in the schema, with no contradiction.

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?

A single sentence front-loads the action, then lists the scope, then closes with the most important update semantic. Every clause earns its place and there is no redundant or promotional wording.

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 13-parameter setup tool with no required fields, the description plus schema covers the full property surface and the partial-update behavior, and annotations cover the side-effect profile. The main gap is that no return/response behavior is described, and there is no output schema to fill that in.

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 62% schema description coverage, the schema carries most parameter meaning. The description lists many parameters but adds little beyond naming them; undocumented properties like country, business_name, services, and message_style are not clarified, though they are mostly self-explanatory or enum-driven.

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 opens with a specific verb-resource pair ('Creates or updates the AI support agent of the business') and enumerates the configurable fields, making the tool's purpose unmistakable. It also differentiates from sibling tools by scoping to business-agent configuration rather than FAQ, chat customization, or site learning.

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?

The create/update framing and 'Fields that are not sent are left unchanged' imply this is the tool for initial setup and subsequent edits, which is useful usage context. However, it never explicitly states when to prefer this tool over siblings or what circumstances would make it inappropriate.

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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