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lanten-ai

Lanten MCP Server

by lanten-ai

create_unit

Add a new property unit to the system by providing its street address, city, country, and postcode, with optional fields for unit number and area.

Instructions

Create a new property unit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressLine1YesStreet address line 1
addressLine2NoStreet address line 2 (flat number, etc.)
cityYesCity or town
countyNoCounty or province
countryYesCountry
postcodeYesPostal / zip code
areaNoArea or region label (e.g. "North Zone")
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits beyond the schema, such as whether new units get a generated ID, idempotency, or error states. For a creation tool, more context 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.

Conciseness4/5

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

Extremely concise (one sentence, five words). While it conveys the purpose, it could be slightly more structured without being verbose, but it earns its place.

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?

Given the tool's low complexity (7 simple string params) and no output schema, the description is adequate but lacks mention of what the tool returns or how to retrieve the created unit. Sibling tools like get_unit suggest read operations exist.

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%, so the schema fully documents parameters. The description adds no further meaning beyond the schema, meeting the baseline.

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 'Create a new property unit.' uses a specific verb and resource, clearly distinguishing it from sibling tools like create_tenant or create_work_order.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives, or any prerequisites (e.g., a property must exist). The description lacks context for the agent to decide when to invoke it.

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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