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faber_create_database

Create a new MySQL database with a dedicated user for Laravel applications on Faber servers, supporting custom names and server configurations.

Instructions

Create a new MySQL database with a dedicated user

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoDatabase name (auto-generated if not provided)
serverNoServer name from config (optional, defaults to defaultServer)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions creating a database with a user, but lacks details on permissions needed, whether this is reversible, if it affects existing data, or what happens on failure. For a creation tool with zero annotation coverage, this is insufficient.

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 a single, efficient sentence with zero waste. It's appropriately sized and front-loaded with the core action, making it easy to parse quickly.

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?

For a database creation tool with no annotations and no output schema, the description is incomplete. It doesn't explain what the tool returns, error conditions, or behavioral nuances like auto-generation rules, leaving significant gaps for agent understanding.

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 already documents both parameters. The description adds no additional parameter semantics beyond implying database creation, which the schema covers. Baseline 3 is appropriate when schema does the heavy lifting.

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 clearly states the action ('Create a new MySQL database') and specifies it includes 'a dedicated user', which adds useful detail. However, it doesn't differentiate from sibling tools like 'faber_create_domain' or 'faber_create_stack' beyond mentioning MySQL specifically.

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 is provided on when to use this tool versus alternatives. With siblings like 'faber_list_databases' and 'faber_create_domain', there's no indication of prerequisites, dependencies, or contextual triggers for choosing 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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