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Zenskar MCP Server

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by zenskar

createBusinessEntity

createBusinessEntity

Create a new business entity with name, address, contact details, tax configuration, and logo. User confirmation is enforced via an approval gate.

Instructions

Creates a new business entity in the system with various attributes including name, address, contact details, tax configuration, and logo. Host enforces user confirmation via the approval gate; do NOT ask the user to re-confirm before calling.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesBusiness Entity Name (required).
emailNoBusiness Entity email address (optional).
phone_numberNoBusiness Entity phone number with country code (optional).+911234567890
is_defaultNoWhether this is the default business entity (defaults to false).
logo_urlNoBusiness Entity logo URL (optional).
tax_configNoBusiness Entity tax configuration as JSON object (optional).
address_line1NoAddress line 1 (optional).
address_line2NoAddress line 2 (optional).
address_line3NoAddress line 3 (optional).
address_cityNoAddress city (optional).
address_stateNoAddress state (optional).
address_zipCodeNoAddress zip code (optional).
address_countryNoAddress country (optional).
__userContextNoInternal user context for multi-tenant authentication and approval workflow
Behavior2/5

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

No annotations are provided, so the description bears full burden. It mentions creation and an approval gate, but lacks details on side effects, permissions, error states, or what happens on failure. For a mutation tool, more transparency is needed.

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?

The description is two sentences, front-loading the purpose and following with a critical usage guideline. Every word earns its place with no redundancy or fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite 14 parameters and no output schema, the description does not address return value, error scenarios, or prerequisites beyond the approval gate. It leaves significant gaps for an AI agent to understand the full tool 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?

Schema coverage is 100%, so the schema already documents all 14 parameters. The description lists some attribute categories (name, address, etc.) but adds no semantic nuance beyond the schema. Baseline of 3 is appropriate.

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 starts with 'Creates a new business entity', which is a specific verb and resource. It clearly distinguishes from sibling tools like updateBusinessEntity and listBusinessEntities. The mention of various attributes adds clarity.

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 explicitly states that the host enforces user confirmation via the approval gate and instructs not to re-confirm. This is clear usage guidance. However, it does not compare to alternative tools or specify when not to use this tool.

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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