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create_database

Provision a database on Coolify by specifying its type, server UUID, project UUID, and environment name. Supports PostgreSQL, MySQL, MariaDB, MongoDB, Redis, ClickHouse, Dragonfly, and KeyDB.

Instructions

Create a new database. Valid types: postgresql, mysql, mariadb, mongodb, redis, clickhouse, dragonfly, keydb

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesDatabase type (postgresql, mysql, mariadb, mongodb, redis, clickhouse, dragonfly, keydb)
server_uuidYesServer UUID
project_uuidYesProject UUID
environment_nameYesEnvironment name
nameNoDatabase name (optional, auto-generated if not provided)
descriptionNoDatabase description
imageNoDocker image for the database
is_publicNoMake database publicly accessible
public_portNoPublic port for the database
instant_deployNoDeploy immediately after creation
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It fails to mention any side effects, required permissions, or operational characteristics beyond creation. This is a significant gap for a provisioning tool.

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?

The description is short and to the point, with no wasted words. It is appropriately front-loaded with the core action and follows with the key constraint (valid types). However, it could be slightly more structured with separate sentences for clarity.

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?

Given the tool has 10 parameters and no output schema or annotations, the description is insufficient. It does not explain the creation process, expected outcomes, or how parameters interact. More context is needed for a tool of this complexity.

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 baseline is 3. The description adds the list of valid database types, which is already present in the schema for the 'type' parameter. No additional semantic value is provided beyond what the schema offers.

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 clearly states the tool creates a new database and lists valid types, distinguishing it from sibling tools that create other resources (e.g., applications, servers). The verb 'create' and resource 'database' are specific and unambiguous.

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 description implies use for database creation but does not provide explicit guidance on when to use this tool versus alternatives like update_database or list_databases. No when-not or prerequisites are mentioned, making it minimally adequate.

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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